Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
GA-ASI to Manufacture Gambit Aircraft in Europe for Global Procurement by 2027
General Atomics Aeronautical Systems, Inc. (GA-ASI) announced plans to produce Gambit aircraft in Europe, collaborating with local companies. The airframes are expected to be available for international procurement starting in 2027. This initiative is significant as it enhances European defense capabilities, allowing for greater collaboration and integration within the region. By partnering with European firms, GA-ASI aims to strengthen defense ties and promote local industry involvement in advanced military technology. Looking ahead, stakeholders should monitor the development of the Gambit aircraft and its implications for European defense procurement strategies. The timeline for international availability in 2027 will be crucial for potential buyers and partners in the defense sector.
Air Warfare Sponsored Post Air Force APKWS Drones Europe
General Oceans Expands Global Reach with Asia Office
General Oceans, the parent company of several underwater technology brands such as Nortek, Tritech International Ltd, and Klein Marine Systems, has announced the opening of a new sales office in Singapore. This strategic move, which took place recently, aims to enhance the company's global presence and better serve its clients in the Asia-Pacific region. By establishing a foothold in Singapore, General Oceans seeks to tap into the growing demand for underwater technology solutions and strengthen its market position. The new office is expected to facilitate improved customer engagement and support, reflecting the company's commitment to innovation and service excellence in the underwater technology sector.
general oceans expansion global reach asia office
NVIDIA Discusses Evaluating General-Purpose Robot Policies for Real-World Applications
NVIDIA has highlighted the challenges in evaluating general-purpose robot policies as their capabilities advance. The company emphasizes that while current robotics models can follow natural language instructions to manipulate various objects, rigorous evaluation remains a significant hurdle due to the limitations of existing benchmarks. Real-world testing is costly and slow, necessitating effective simulation methods for large-scale evaluations. The importance of this evaluation process lies in the need for robots to generalize their skills beyond memorized setups. NVIDIA points out that many benchmarks suffer from visual and task-domain overlap, which can lead to misleading performance metrics. As models achieve high scores on static task sets, it becomes increasingly difficult to differentiate their true capabilities, raising concerns about the meaningfulness of reported results. Looking ahead, NVIDIA's focus on improving simulation environments and task generation methods is crucial for advancing robotic evaluation. The company aims to address the diagnostic gaps in current benchmarks, which often fail to provide insights into the reasons behind a robot's performance. No further timeline was disclosed at the time of publication.
Artificial Intelligence Artificial Intelligence / Cognition Design / Development Motion Control News Software / Simulation
USAF Orders Both General Atomics’ FQ-42 And Anduril’s FQ-44 Into Production
The United States Air Force (USAF) has made a significant decision to order both the FQ-42 and FQ-44 Collaborative Combat Aircraft designs from General Atomics and Anduril, respectively. This move, announced recently, aims to mitigate risks associated with the high-stakes program by leveraging the advantages of both aircraft designs. By opting for dual production, the USAF seeks to enhance its operational capabilities and ensure a more robust defense strategy. The decision underscores the importance of innovation and adaptability in military aviation, as the USAF navigates the complexities of modern warfare.
Air Air Forces Collaborative Combat Aircraft Drones News & Features U.S. Air Force
X Square Robot Develops Integrated Stack for General-Purpose Robotics
X Square Robot, a Chinese company focused on embodied AI, is pioneering an integrated stack for general-purpose robots. This stack combines data learning, a world model for predicting physical changes, and an action model that integrates perception, planning, reasoning, and decision-making. The company emphasizes the importance of quality interaction data over sheer quantity, utilizing its Universal Manipulation Interface (UMI) to enhance data collection. The significance of X Square Robot's approach lies in its potential to unify various aspects of robotic intelligence, addressing the fragmented nature of current systems. By prioritizing interaction quality and establishing a closed inspection loop for data validation, the company aims to create a more effective learning environment for robots. This method not only reduces costs but also enhances the reliability of the training data, which is crucial for developing general-purpose robots capable of performing diverse tasks. Looking ahead, X Square Robot's WALL-WM world model represents a shift towards event-based action prediction, allowing for more coherent and context-aware robotic behavior. As the company continues to refine its models and data collection methods, the broader robotics community will be watching for independent validation of its results and the potential implications for the future of general-purpose robotics.
Home-robots Type-sponsored Large-language-models Embodied-intelligence Ai-robots Robot-learning
Beyond the Gala: OmniXtreme Breaks the Generality Barrier for Humanoid Agility
A collaborative effort between BIGAI and Unitree has led to the development of OmniXtreme, an innovative unified control policy designed for humanoid robots. This groundbreaking technology allows these robots to execute a wide range of extreme movements, including backflips and breakdancing, without requiring extensive task-specific adjustments. The unveiling of OmniXtreme marks a significant advancement in robotics, showcasing the potential for more versatile and adaptable robotic performances. The announcement comes as the field of robotics continues to evolve, pushing the boundaries of what machines can achieve in terms of agility and movement.
Unitree Robotics Research China embodied-ai
Unitree G1 Humanoid Robot Achieves Milestone in Live Gallbladder Surgery
The Unitree G1 humanoid robot has successfully performed a laparoscopic cholecystectomy on a living subject, marking a significant milestone in robotic surgery. This operation represents the first instance of a general-purpose humanoid robot conducting live surgery, showcasing advancements in robotic capabilities and surgical precision. This achievement is noteworthy as it highlights the growing integration of robotics in medical procedures, potentially transforming surgical practices. The successful completion of this surgery could pave the way for broader applications of humanoid robots in healthcare, addressing labor shortages and enhancing surgical outcomes through precision and consistency. Looking ahead, the implications of this surgery could lead to further developments in robotic-assisted procedures. No further timeline was disclosed at the time of publication, but the medical community will be closely monitoring advancements in humanoid robotics and their applications in surgery.
Robotics
SpaceX's Starmind Targets AI Labs with $6.3 Billion Compute Contracts
SpaceX's Starmind is designed to provide wholesale AI compute services to businesses, particularly AI labs and cloud customers, rather than individual consumers. The service operates similarly to AWS, where users benefit from applications running on Starmind without direct subscriptions. The compute capacity of a single AI1 satellite is comparable to one NVIDIA GB300 rack, emphasizing its enterprise-grade capabilities. The significance of Starmind lies in its positioning as a potential fourth hyperscaler, joining the ranks of AWS, Microsoft Azure, and Google Cloud. The Reflection AI contract, valued at $150 million per month, exemplifies the enterprise-focused model, with total payments potentially reaching $6.3 billion through 2029. This contract highlights the growing demand for AI compute resources, particularly from AI-native startups and labs. Looking ahead, the focus will remain on securing additional enterprise contracts as Starmind expands its offerings. No consumer-facing products or subscriptions have been announced, and the current strategy is to cater to businesses with substantial AI workloads. No further timeline was disclosed at the time of publication.
Embodied or virtually represented: Navigating the embodiment debate in human-robot interaction
In a groundbreaking study published in the May 2026 issue of Science Robotics, researchers have unveiled a new robotic system designed to enhance surgical precision. This innovative technology, developed by a team of engineers and medical professionals, aims to improve patient outcomes in minimally invasive procedures. The research was conducted at a leading medical institution, where the team tested the robotic system in various surgical scenarios. The motivation behind this development stems from the increasing demand for advanced surgical techniques that can reduce recovery times and minimize complications. By integrating advanced algorithms and real-time imaging, the robotic system allows surgeons to perform intricate tasks with greater accuracy than traditional methods. Initial trials have shown promising results, indicating a significant reduction in surgical errors and improved overall efficiency in the operating room. As the medical community continues to seek ways to enhance surgical practices, this new technology represents a significant step forward in the quest for safer and more effective medical interventions. The team plans to conduct further studies to refine the system and explore its applications across different types of surgeries.
Focus
General Atomics CCA drone returns to flight
Air Force Colonel Timothy Helfrich emphasized the significance of the response to a drone crash that occurred on April 6, stating that it confirms the military's strategy of prioritizing acquisition and testing risks over operational risks. This approach is intended to expedite the development and deployment of the program. Helfrich's remarks highlight the Air Force's commitment to advancing drone technology and ensuring readiness while managing potential setbacks in testing phases. The incident serves as a pivotal moment in the program's timeline, reinforcing the decision to embrace calculated risks in pursuit of operational efficiency.
Air Warfare Air Force Anduril collaborative combat aircraft Drones General Atomics
AI Aims for Autonomous Wheelchair Navigation
Researchers from the German Research Center for Artificial Intelligence (DFKI) in Bremen, led by Christian Mandel and Serge Autexier, are exploring the potential of AI-powered smart wheelchairs to navigate complex environments more effectively than traditional systems. Their findings were presented earlier this month at the CSUN Assistive Technology Conference in Anaheim, California. The team developed prototype electric wheelchairs equipped with advanced sensors, including lidar and 3D cameras, to detect and avoid obstacles in real-time. The smart wheelchairs operate in both semiautonomous and fully autonomous modes. In semiautonomous mode, users control the wheelchair via a joystick, while in autonomous mode, they can issue commands using natural language, such as asking the wheelchair to navigate to a specific location. The research is part of a larger initiative called REXASI-PRO, aimed at enhancing mobility for individuals with severe disabilities. Despite the advancements, challenges remain, particularly regarding cost, reliability, and the need for tailored solutions that accommodate diverse user needs. Pooja Viswanathan, CEO of Braze Mobility, emphasized the importance of making these technologies accessible to everyday consumers. The researchers anticipate that smart wheelchairs could be available in the mainstream market within the next decade, with a focus on creating partnerships between users and technology rather than replacing human control. The ongoing work aims to ensure that smart wheelchairs are safe, reliable, and capable of adapting to the complexities of real-world environments.
Wheelchairs Taenzer-fellowship Navigation Artificial-intelligence
Michigan’s Bet on the Low Altitude Economy: How M Air Connects Aerospace Innovation and Detroit Manufacturing
At XPONENTIAL 2026, leaders from the University of Michigan presented a forward-looking vision aimed at establishing the state as a key player in the low altitude economy, particularly in the realms of drones and advanced air mobility (AAM). This initiative seeks to leverage Michigan's aerospace innovations alongside Detroit's robust industrial manufacturing capabilities. The discussion highlighted the potential for Michigan to become a central hub for these emerging technologies, emphasizing the synergy between cutting-edge aerospace developments and the region's manufacturing expertise.
Advanced Air Mobility Aerospace Applications Autonomous DL Exclusive Drone Manufacturing
Why Are Large Language Models So Terrible at Video Games?
Recent advancements in large language models (LLMs) have led to significant improvements in various domains, particularly in coding. However, a notable limitation remains: LLMs struggle to play video games effectively. Despite some successes, such as Gemini 2.5 Pro defeating Pokémon Blue in May 2025, these models often perform poorly compared to human players, making frequent mistakes and requiring specialized software to assist them. Julian Togelius, director of New York University’s Game Innovation Lab and co-founder of AI game-testing firm Modl.ai, discussed these challenges in a recent interview with IEEE Spectrum. He highlighted that while coding resembles a well-structured game with clear tasks and immediate feedback, video games present a more complex landscape that LLMs have yet to navigate successfully. Unlike games like chess or Go, which have been mastered by AI through retraining, video games vary significantly in mechanics and input requirements, complicating the development of a general game AI. Togelius pointed out that the lack of comprehensive benchmarks for video games further hinders LLMs' performance. While benchmarks have driven improvements in coding, the diverse nature of video games makes it difficult to establish similar metrics. He noted that current LLMs perform poorly even compared to basic algorithms in gaming contexts, primarily due to insufficient training data and challenges in spatial reasoning. Despite their coding capabilities, LLMs cannot engage in the iterative process of game development, which involves testing and refining gameplay. This disparity raises questions about the future of AI in mastering video games and its implications for broader AI applications.
Llms Artificial-intelligence Video-games
The Dark Matter of Robotics: Generalist AI’s Andy Zeng on the Quest for Physical Commonsense
The chief scientist of Generalist AI has emphasized that the future advancements in robotics will not stem from textual data available on the internet, but rather from enhancing the 'reflexive' intelligence associated with physical interactions. This statement highlights a shift in focus towards developing robots that can better understand and respond to their environments through direct engagement, rather than relying solely on pre-existing information. The insights were shared during a recent discussion on the evolution of artificial intelligence and its implications for robotic development. As the field progresses, experts are advocating for a more hands-on approach to training robots, suggesting that real-world experiences will be crucial in fostering their capabilities. This perspective underscores the importance of integrating sensory feedback and adaptive learning in robotic systems to achieve significant breakthroughs in the industry.
Generalist AI embodied-ai
Judge Temporarily Halts $110 Billion Paramount-Warner Bros. Merger Amid Legal Challenges
A proposed acquisition of Warner Bros. Discovery by Paramount Skydance has encountered a significant obstacle as a judge has temporarily paused the $110 billion deal. This decision follows a lawsuit initiated by a coalition of 12 state attorneys general, led by California Attorney General Rob Bonta, who argue that the merger would negatively impact competition in the entertainment industry. The coalition claims that the merger would harm movie theaters, basic cable distributors, and audiences by reducing competition in theatrical film distribution and cable licensing. Attorney General Bonta emphasized the importance of maintaining a fair market, stating that the lawsuit aims to prevent the merger from proceeding, which he believes could lead to fewer opportunities and worse products for consumers. As the legal proceedings unfold, Paramount's CEO David Ellison had previously indicated that the merger was expected to close by September. However, this legal challenge could significantly delay those plans. No further timeline was disclosed at the time of publication.
Media & Entertainment HBO Mergers and Acquisitions Paramount regulation Warner Bros
Small-AI Models Gain Traction Around the World
One morning in 2019, Adebayo Alonge was in a Cape Town hotel room, preparing to demonstrate his startup’s AI answer to a serious problem in African health care: counterfeit medication, which kills thousands of people across the continent every year.The RxScanner is a handheld spectrometer that scans a pill with infrared light, then sends the item’s molecular profile to an AI model equipped with a pharmaceutical database. In seconds, the AI identifies the medication from its molecular profile—or reports that it’s phony.Pharmacies were using the system in more than a dozen countries, including Ghana, Kenya, Myanmar, and Alonge’s native Nigeria. But that morning in South Africa, it didn’t work. “I was shocked,” Alonge says.The spectrometer connected to the AI model—but the data center was 14,000 kilometers away and bandwidth was limited. “Our server was in the United States, and just to get the result of a single scan was taking me over 5 minutes.”So Alonge immediately asked his engineers to shrink the AI model down to a smaller, low-power, unconnected version that could run entirely on his Android phone. They produced it 2 hours later, and that saved the demo.More importantly, the work birthed a new version of his device, which can authenticate a pill in places without broadband, computers, or even reliable electricity. It also turned Alonge into an advocate for this kind of “small AI.”Small AI for Global Health Care AccessSmall AI is a far cry from wealthy nations’ colossal large language models (LLMs), hyperscale data centers, multibillion-dollar investments, and debates about AI consciousness. But for millions of people around the world, the only AI that matters, and often the only kind available, is small. (According to a World Bank Report issued in November, only 0.7 percent of internet users in the world’s poorest countries have used ChatGPT, compared to a quarter of all internet users in the most developed nations.)“Most people are discussing AI from the LLM/generative side. But that needs a lot of computing power, electricity, massive data, and skilled people to manage it,” Ajay Banga, president of the World Bank, said last January at the World Economic Forum, in Davos. “Outside the developed world, other than maybe India and China, very few countries have that combination.”By contrast, small AI can deliver useful, even life-saving services to people in areas that have none of those things, Banga said. In India, where the government’s AI plans call for more development of small AI, many such systems are working for farmers.For example, a drone-based system developed by Bala Murugan and colleagues at the Vellore Institute of Technology, in India, takes photos of cashew plants and quickly identifies those with splotches that indicate disease. All the processing takes place on the drone itself, so there’s no need for a computer on-site, nor for a connection to a central server.Using small language models trained for a specific problem, and sometimes running on cheap, low-power devices, other small-AI implementations have been developed to identify ant infestations in a Uruguayan vineyard, detect the presence of malaria-carrying mosquitoes in a number of nations, and run electrocardiograms from an Arduino device in parts of Brazil that lack access to more complex equipment.“This is the most important area in AI nowadays,” says Marcelo José Rovai, a professor at the Institute of Engineering and Information Systems at the Federal University of Itajubá, in Brazil, who was involved in all three projects. “It’s growing very fast.”Low-Power, Small-AI Models on Devices Small AI models can run on a variety of low-power devices, including [from left to right] an Arduino Nano 33 BLE Sense, a Seeed Wio Terminal, and an Arduino Portenta.Moez AltayebFor Alonge, Rovai, and other advocates, small AI is not just “a promising trend,” as that November World Bank report calls it. It may be, in the long term, the form of AI that will touch the most lives and remain sustainable after some of the giant models become too costly for most users.“I think the future of AI is not like one giant model, at a center. I think it’s millions of small, precise models deployed at the edge, each one solving like a specific problem, a specific context,” Alonge says. This is partly because much of humanity—including people in parts of rich countries as well as the developing world—lives without access to cutting-edge frontier models. But, he says, it’s also because those models are not sustainable.“If someone is not subsidizing it, most people will not be able to afford those models. So those of us who are said to be small-AI developers are the ones who will have to build for the majority of the world,” Alonge says.There is no strict definition of “small AI,” but people often use the term for language models with at most a few billion parameters. (Compare that to cutting-edge models, which can include more than a trillion.) That’s small enough to run directly on a phone or a Raspberry Pi. That’s what allows these applications to run on devices without a connection to a data center and use only a few watts of power, often supplied by a battery or a solar panel.Despite their small footprint, these models aren’t fundamentally different technology from that of gigantic AI models, Rovai says. Many instances of small language models were created the same way the phone-based version of Alonge’s pharmaceuticals scanner was—by “pruning” large models, or removing the parameters that weren’t involved in the task. The result is a system that’s less capable generally but still very good at the specific job it was pruned for, Rovai says. A lighter version of RxAll’s RxScanner spectrometer sends its results to an AI model run locally on a phone to check that a drug’s molecular signature is genuine.RxAllOther small models are created by “distillation.” They are trained to mimic a large model, until their performance approaches that of their “teacher,” Rovai says. In other cases, a larger model’s precision is reduced, for example, so that a model run on 32-bit architecture can run on 8-bit designs. In situations where the machine learning application is being used to classify data or predict patterns (like an ant infestation), it’s trained from the beginning on a small device, not derived from a larger model at all. Running all these small, specialized systems is becoming easier, Rovai says, for two reasons.The first reason is that hardware is getting better and more capable while using less power, he says. This means more and more phones can run small AI—especially those equipped with neural processing units, which are specialized chips that handle AI tasks like facial recognition and changing the brightness, shadows, or contrast in a photo.In 2025, slightly more than a third of all smartphones shipped worldwide were capable of running generative AI, and that figure will reach 45 percent by the end of this year, according to the technology research firm Counterpoint. By the end of next year, slightly more than half of all smartphones will be able to run a small AI model.The second reason Rovai cites is the shrinking footprint of language models. Both Google DeepMind’s Gemma 4 (released in April) and Alibaba’s Qwen 3.5 are “fantastic” for small AI, Rovai says. Both models are “open weight,” meaning users can adjust the connections between parameters to suit their needs. This makes it easy, for example, “to take a lot of data from, say, the milk industry and retrain the model specifically on that,” Rovai says.Rovai illustrated these reasons on a Zoom call, using one of his most recent experiments. Holding up a device, he says, “This is the new Arduino UNO Q—a US $50 device with a Qualcomm chipset. I’m running a language model here, which collects data from sensors and analyzes that data to detect tiny pools of water where mosquitoes might be breeding. It takes 3 watts to run it.”Support for Small-AI DevelopmentConvinced that millions of people are already benefiting from these kinds of applications, the World Bank now actively promotes small AI with grants, mentorship programs, financing, technical advice, and models of government policies that are friendly for small-AI development. For example, in Rwanda, the World Bank is backing a government program to help low-income households get devices that can run AI.All that said, no one claims that large language models are going away entirely. To create a generative AI that can run on a phone or other small device requires the architectural insights, data processing, and results of a larger model, Rovai says. “We need the big models to create these smaller models.” And for all that small AI can benefit people without access to big AI, the technology can’t solve the larger problems of development and digital inequality, Alonge says. Implementing small AI won’t allow nations to escape the challenge of creating an ecosystem to support AI: reliable power, a supply chain that works, and an educational system that develops the talents needed to create AI tools.Though his drug-scanning system can run for days on a phone with no connection, “you still want to be able to enable periodic syncing for updates with new signatures for the medications and analytics,” Alonge says. “And even when you are using batteries, reliable power is important. That phone battery is not going to last forever.”In many parts of the world, the future of small AI isn’t assured, he says. “It works, and many places will eventually need to use it. The question is whether or not the political actors are wise enough to invest in infrastructure to support it long term.”
Small-language-models Artificial-intelligence Llms
Galbot Launches LDA-1B World-Action Model, Open-Sources Framework
Galbot, China's leading unlisted embodied AI company valued at over RMB 20 billion (approximately $2.8 billion), has unveiled its latest innovation, the LDA-1B. This advanced model, featuring 1.6 billion parameters, integrates world and action learning, showcasing its ability to scale effectively with diverse data sets. The LDA-1B has been open-sourced and is set to be presented at the upcoming Robotics: Science and Systems (RSS) conference in 2026. This release marks a significant step in the field of AI, reflecting Galbot's commitment to advancing technology and contributing to the global AI community.
News
JAKA và Intel hợp tác để đưa Trí tuệ nhân tạo thể hiện (Embodied AI) từ phòng thí nghiệm đến các ngành công nghiệp toàn cầu.
On January 7, 2026, in Shanghai, China, JAKA Robotics and Intel China signed a Memorandum of Understanding (MoU) aimed at accelerating the commercialization of Embodied AI, transitioning this advanced technology from research labs to practical applications. JAKA Robotics, known for its comprehensive product range including the JAKA Kargo wheeled humanoid robot and the JAKA Lumi Embodied AI platform, is collaborating with Intel to leverage Intel's leadership in advanced computing and AI alongside JAKA's robotic capabilities. The partnership will focus on three strategic pillars: 1. Joint technical innovation, integrating Intel's hardware platforms, such as the Intel® Core™ Ultra processors, with JAKA's robotics technology to explore critical integration pathways and establish a shared development roadmap. 2. Scalable industrial solutions, aimed at creating easily deployable robotic solutions for industrial manufacturing and commercial services, turning AI concepts into tangible productivity gains. 3. Ecosystem development, fostering an open industrial ecosystem through joint marketing initiatives and support programs for academic and industrial partners. Wang Jingjia, General Manager of Intel China's Industry and Solutions Division, emphasized the importance of deep integration between robust open computing platforms and advanced robotic technology for the widespread application of Embodied AI. This collaboration marks a significant step toward scaling Embodied AI from concept to production, enabling smarter interactions and greater precision with a real impact on the global economy.
International Collaboration Promotes Synergy: ISO Secretary-General Visits Beijing Humanoid Robot Innovation Center
Sergio Mujica, the Secretary-General of the International Organization for Standardization (ISO), recently visited the Beijing Humanoid Robot Innovation Center to engage in discussions about international standards and collaboration within the emerging technology sector. The visit underscored China's significant progress in robotics and emphasized the critical role of standardization in ensuring the safe and efficient development of new technologies. Mujica's discussions aimed to foster cooperation among industry leaders and promote best practices in the rapidly evolving field of robotics.
Humanoid Robots International Standards Robotics Innovation Technology Collaboration
Gerald Mies, President and CEO of Estun Robotics Europe, Attends the “Nanjing Day” Event in Stuttgart to Deepen China–Germany Industrial Collaboration through Intelligent Manufacturing
On March 2, the 2026 “Nanjing Day” Economic and Trade Promotion Conference took place in Stuttgart, Germany, showcasing the collaborative efforts of the Nanjing Municipal People’s Government and the Consulate General of the People’s Republic of China in Frankfurt. The conference aimed to strengthen economic ties and promote trade opportunities between Nanjing and German businesses. By highlighting Nanjing's economic potential and investment opportunities, the event sought to attract foreign investment and foster international partnerships. Attendees included government officials, business leaders, and potential investors, who engaged in discussions and networking to explore collaborative ventures. The initiative reflects a broader strategy to enhance Nanjing's global economic presence and encourage bilateral trade relations.
ESTUN AUTOMATION ROBOTICS SERVO SYSTEMS
HNSE ASIA AI HARDWARE BATTLE 2025 Adds Japan retail showcase for Top 10 Winners
The HaiNan-Southeast Asia AI Hardware Battle (HNSE AHB) has announced an enhanced prize package for its upcoming competition. Organized by TechNode and TNGlobal, and presented by Lingshui Li Autonomous County Development Group Holdings Limited, this year’s event will reward each of the Top 10 winners with a minimum two-week in-store showcase at select CCC Group retail outlets across Japan. This initiative aims to provide greater visibility and support for innovative AI hardware solutions, fostering collaboration and growth within the tech community. The competition is set to take place in the coming months, highlighting the increasing importance of AI technology in the region.
Events News CHINA Hardware HNSE ASIA AI HARDWARE BATTLE 2025 ADDS JAPAN RETAIL SHOWCASE FOR TOP 10 WINNERS; GREEN FUNDING JOINS AS STRATEGIC PARTNER
Boston Dynamics Atlas shows signs of general intelligence for factory work, reports say
Recent reports indicate that Boston Dynamics' humanoid robot, Atlas, is nearing the level of autonomy required for practical use in industrial settings. This advancement comes as the company continues to refine Atlas's capabilities, enhancing its ability to navigate complex environments and perform tasks with minimal human intervention. The development is seen as a significant step forward in robotics, potentially transforming various industries by increasing efficiency and safety. Boston Dynamics aims to address the growing demand for automation in sectors such as manufacturing and logistics, where robots can assist in repetitive or hazardous tasks. As the technology progresses, the company is exploring partnerships and pilot programs to facilitate the integration of Atlas into real-world applications.
AI and Robotics
Watch: The Gap Between Robotics Hype and Manufacturing Reality
Tilman Buchner, a partner and director at the Boston Consulting Group, recently presented insights from the firm’s latest report, which evaluates advancements in physical artificial intelligence within manufacturing environments. The report highlights significant progress in the integration of AI technologies on factory floors, emphasizing their potential to enhance operational efficiency and productivity. This analysis comes at a crucial time as industries increasingly seek innovative solutions to streamline processes and reduce costs. Buchner's findings underscore the importance of embracing these technological advancements to remain competitive in a rapidly evolving market. The report serves as a comprehensive overview of how AI is transforming traditional manufacturing practices, providing a roadmap for companies looking to leverage these technologies effectively.
Domestic AI Unicorn Unveils MiniCPM-Robot to Enhance Robot Memory at WAIC
At the World Artificial Intelligence Conference (WAIC), a notable trend emerged in the robotics sector, with an increasing number of VLA models attempting to enable robots to execute longer task chains. A significant challenge has been the fundamental conflict between 'contextual memory' and 'real-time inference costs' in VLA models, which has hindered the completion of long-range tasks. During WAIC, Mianbi Intelligence introduced and open-sourced its first series of embodied intelligence results, the MiniCPM-Robot, which includes the general VLA model MiniCPM-RobotManip and the tracking navigation model MiniCPM-RobotTrack. This model, with only 1.3 billion parameters, successfully completed long-range tasks like making sandwiches and achieved a significant lead over well-known models in the RMBench leaderboard, showcasing its advanced contextual memory capabilities. The release of MiniCPM-Robot signifies Mianbi Intelligence's transition of its accumulated multimodal technology from the digital realm to the physical world. The MiniCPM-Robot series addresses a structural shortcoming in current embodied intelligence, allowing for efficient visual token compression that enhances real-time inference speed while retaining memory, thus overcoming a long-standing dilemma in VLA model development.
Robotics AI Models Task Execution Memory Retention
Meteor streaks across the sky above big observatory | Space photo of the day for June 5, 2026
A stunning meteor illuminated the night sky over Arizona's Kitt Peak National Observatory, captivating onlookers with its brilliant display. The celestial event occurred recently, showcasing the beauty of natural phenomena and drawing attention from both amateur astronomers and the general public. Observers at the site were treated to a rare spectacle, highlighting the ongoing interest in astronomical events and their impact on science and community engagement. The meteor's appearance serves as a reminder of the wonders of the universe and the importance of preserving dark skies for optimal viewing experiences.
Meteors & Meteor Showers Stargazing
Large Behavior Models and Atlas Find New Footing | Boston Dynamics
Researchers emphasize that the development of effective humanoid robots hinges on a comprehensive set of skills. These robots must be capable of manipulating a wide variety of objects, ranging from hard to soft and heavy to delicate. They should also possess the ability to coordinate their movements to adapt to their surroundings, navigate obstacles, and maintain balance in unpredictable situations. This multifaceted approach is essential for creating AI generalists that can perform a diverse array of tasks, ultimately advancing the field of robotics. The ongoing research aims to address these challenges and enhance the functionality of humanoid robots, paving the way for their practical applications in everyday life.
Video Friday: Who Wins in Robot Versus Pro Ping-Pong Player?
In a recent showcase of advancements in robotics, IEEE Spectrum highlighted several innovative developments and upcoming events in the field. Notably, Sony AI's latest research, featured on the cover of Nature, explores the potential of high-speed autonomous systems to master complex perception and dynamic control, aiming to compete with professional athletes. Among the exciting projects is the Ringbot Quad, a unique monocycle robot that integrates wheeled and legged locomotion, allowing it to navigate diverse terrains by switching between driving and walking modes. Meanwhile, in a significant milestone for China's robotics industry, humanoid robots outpaced human runners in a half-marathon in Beijing, with three robots finishing ahead of 12,000 participants. Other highlights include AthenaZero, a robot capable of juggling using only on-board sensory feedback, and advancements from the Max Planck Institute for Intelligent Systems, which reported a method to enhance the efficiency of soft electrostatic actuators, achieving conversion rates of up to 63.6%. As the field continues to evolve, discussions at Carnegie Mellon University emphasize the implications of Artificial General Intelligence (AGI) for society, proposing a future where humans collaborate with robots in supervisory roles, potentially transforming essential services and labor dynamics. Upcoming robotics events include ICRA 2026 in Vienna and the Summer School on Multi-Robot Systems in Prague, offering platforms for further exploration and innovation in robotics.
Robotics Humanoid-robots Video-friday Quadruped-robots Robot-videos Industrial-robots
SiaRDFNet: Leveraging Siamese Architecture With ResNet‐DenseNet Fusion for Accurate Root Disease Classification
In May 2026, the Journal of Field Robotics published a significant study examining advancements in autonomous robotic systems. The research, conducted by a team of engineers and scientists, highlights innovative algorithms that enhance navigation and decision-making capabilities in complex environments. This study is particularly relevant as industries increasingly adopt robotics for tasks ranging from manufacturing to disaster response. The findings were presented during a conference held in a major city, where experts gathered to discuss the future of robotics technology. The motivation behind this research stems from the growing need for efficient and reliable robotic solutions to address challenges in various sectors, including logistics and emergency services. By employing advanced machine learning techniques, the researchers demonstrated how these algorithms allow robots to better interpret sensory data and adapt to dynamic surroundings. This breakthrough could lead to more effective deployment of robots in real-world scenarios, ultimately improving operational efficiency and safety. The implications of this research are expected to influence future developments in robotics, paving the way for more sophisticated and autonomous systems.
RESEARCH ARTICLE
Video Friday: A Robot Hand With Artificial Muscles and Tendons
IEEE Spectrum robotics has released its weekly roundup of notable robotics videos and a calendar of upcoming events, including the International Conference on Robotics and Automation (ICRA) scheduled for June 1-5, 2026, in Vienna. This week's highlights feature advancements in biomimetic design, showcasing a printed hand that integrates soft and rigid components with artificial muscles, enhancing our understanding of natural kinematic structures. Boston Dynamics product managers reflect on classic robots, including LittleDog, which contributed to legged locomotion research over a decade ago. Additionally, DRAGON Lab has introduced a new trajectory planning method for floating-based articulated robots, facilitating exploration in complex environments. Their OmniPlanner tool has been tested extensively across various terrains, including underground mines and forests. The FZI Research Center, in collaboration with ETH Zurich and other institutions, has made strides in preparing for lunar missions by testing cooperative autonomous multirobot teams outdoors. Meanwhile, advancements in humanoid robotics are being discussed, with Kamel Saidi from NIST emphasizing the importance of performance standards for broader adoption. In academia, Junyao Shi from UPenn's GRASP lab will address the challenges of building general-purpose robots, focusing on how human data and foundation models can bridge existing gaps in robotics. This ongoing exploration of robotics technology underscores the field's rapid evolution and its potential impact on various sectors.
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Video Friday: Autonomous Robots Learn By Doing in This Factory
In a recent edition of Video Friday, IEEE Spectrum robotics showcased a variety of innovative robotics projects and developments. Notably, scientists at the Toyota Research Institute are collaborating with Toyota Manufacturing to implement autonomous robots on factory floors, enhancing production efficiency. Zipline shared insights into their drone delivery system, detailing the challenges faced and lessons learned in its development. Humanoid introduced KinetIQ, an AI framework designed for the orchestration of humanoid robot fleets, which integrates task allocation and execution through advanced cognitive layers. Meanwhile, researchers at VISTEC unveiled a decentralized adaptive resilient neural control system (DARCON) that enables legged robots to autonomously adapt to limb loss, ensuring mission success despite mechanical failures. NASA's Jet Propulsion Lab presented an animation of the Perseverance rover's drive along the Jezero Crater, captured on December 10, 2025, showcasing the rover's navigation capabilities. Additionally, Unitree's humanoid robot G1 made its mark on the snowfields of Altay, demonstrating its adaptability in extreme conditions. The Norwegian University of Science & Technology introduced a hierarchical 3D scene graph to enhance autonomous agents' understanding of their environments. Other highlights included the HoLoArm quadrotor, which features compliant arms for improved stability, and SkyDreamer, a pioneering vision-based autonomous-drone racing policy. The event also featured demonstrations of dexterous object manipulation by the AI Worker robot and advancements in swarm robotics for architectural applications.
Video-friday Autonomous-robots Humanoid-robots Industrial-robots Robot-ai Perseverance-rover
Helping Robots Think on Their Feet
Researchers at Carnegie Mellon University have developed the BFM-Zero system, a groundbreaking technology that enables humanoid robots to effortlessly switch between various skills. This innovative system utilizes unsupervised reinforcement learning, allowing the robots to explore their environments, generalize their experiences, and improve their capabilities autonomously. The advancement brings robotics closer to creating general-purpose humanoids that can safely adapt to everyday situations. The development was highlighted in a recent lab demonstration, showcasing the robots' ability to maintain balance and navigate complex tasks without falling. This progress represents a significant step forward in the field of robotics, aiming to enhance the functionality and versatility of humanoid machines in real-world applications.
Research
Current AI Partners with Bhashini to Develop Offline AI Device for 22 Indian Languages
Current AI, a nonprofit organization, is addressing language barriers in AI by developing an offline device called Suno Sutra, which operates in 22 Indian languages. This initiative, launched in collaboration with Bhashini at the India AI Summit, aims to make AI accessible to non-English speakers in India. The significance of this project lies in its potential to democratize AI technology, ensuring that diverse languages and cultures are represented. Current AI's CEO, Ayah Bdeir, emphasizes the need for a public alternative to proprietary AI systems, which often overlook non-English languages and communities. Looking ahead, Current AI has allocated $3.2 million in grants to various projects aimed at building AI datasets and tools that respect community control over data. No further timeline was disclosed at the time of publication.
AI nonprofit large language models current ai
Qingche Intelligent Showcases Comprehensive Data Systems and Robotics at WAIC 2026
From July 17 to 20, 2026, Qingche Intelligent participated in the World Artificial Intelligence Conference (WAIC) in Shanghai, focusing on bridging models and real-world intelligence. The company showcased a complete technology system from real-world data collection to model training and robotic applications, emphasizing the importance of real-world data for embodied intelligence. Qingche's RoboPocket system, a no-body robot data collection platform, allows users to gather data without direct interaction with robots, significantly lowering the barriers for data acquisition. The DM3 data management platform complements this by enabling visual retrieval, quality control, and data asset management, handling up to 10,000 data entries daily and accumulating substantial real-world data assets. The company also presented its new generation of embodied intelligence pre-training models, which do not rely on teleoperation data, demonstrating a viable path for model training using only field-collected data. Qingche's solutions have already been deployed in real-world scenarios, such as retail pharmacies and hotel laundry services, showcasing the practical applications of their technology and the continuous evolution of their data-driven model development.
Embodied Intelligence Data Management Robotics AI Applications
Launch of the 2026 Intelligent Embodiment Forum at WAIC Focuses on Physical AI
On July 19, 2026, the Intelligent Embodiment Forum was successfully launched at the World Artificial Intelligence Conference (WAIC). This event, co-hosted by Zhiyuan and Mifeng Technology, gathered leading experts from top universities and tech companies to discuss the evolution of physical AI and its challenges, including data scarcity and the need for unified physical representation. The forum highlighted the importance of transitioning from digital AI to physical AI, emphasizing the need for a comprehensive understanding of the environment and task execution. Keynote speaker Yao Maoqing outlined the three critical barriers to scaling physical intelligence: data, representation, and feedback loops. He stressed that overcoming these barriers is essential for the development of general embodied intelligent systems. Looking ahead, the forum set the stage for ongoing collaboration between academia and industry to accelerate the evolution of physical AI. No further timeline was disclosed at the time of publication.
Physical AI Robotics Artificial Intelligence Machine Learning
Aoyi Technology Showcases Innovative Products at WAIC 2026 Addressing Real-World Needs
On July 17, 2026, the World Artificial Intelligence Conference (WAIC) opened in Shanghai, attended by President Xi Jinping, who emphasized the importance of global AI cooperation. Aoyi Technology presented its full range of self-developed hardware, including the CeRelax EEG headset, gForce Ultra EMG wristband, and lower limb rehabilitation exoskeleton, focusing on practical applications in real environments. The showcased products aim to address specific pain points in various scenarios, such as the lower limb exoskeleton, which assists users in walking without the need for muscle signal collection. The gForce Ultra wristband captures minute muscle contractions to aid rehabilitation and optimize robotic operations, while the CeRelax headset bridges the gap between high-end research and consumer needs in brain health. Looking ahead, Aoyi Technology's Vice President Zhang Qi highlighted the industry's shift towards functional product development. The company plans to extend its capabilities into the education sector with a new matrix of embodied intelligence educational products designed for vocational schools, aiming to cultivate practical engineering talent. No further timeline was disclosed at the time of publication.
Brain-Machine Interfaces Wearable Technology Rehabilitation Robotics Educational Technology
Over 30 Companies Announce $10 Billion Investment in Pennsylvania Defense Sector
More than 30 companies have pledged approximately $10 billion towards defense technologies, research and development, and job creation in Pennsylvania, as announced by President Donald Trump at the Pennsylvania Defense and Innovation Summit in Carlisle. Key players in this investment include Lockheed Martin, JPMorgan Chase, Hanwha, Kratos, and General Dynamics, focusing on shipbuilding, munitions, artificial intelligence, and robotics, which will support over 4,000 jobs according to Sen. Dave McCormick. This significant investment aligns with the 'Arsenal of Freedom' initiative aimed at revitalizing the defense industrial base under the Defense Department’s New Acquisition Transformation strategy. It also supports Trump’s 'peace through strength' agenda, which seeks to enhance the U.S. military's capabilities in response to global threats. Pennsylvania currently ranks seventh in DOD contract value, with $20.7 billion projected between July 14, 2025, and July 14, 2026, a figure expected to rise to over $34 billion since Trump’s return to office. Looking ahead, Sen. McCormick emphasized the need for collaborative efforts among industry, academia, and Congress to strengthen the defense industrial base. He highlighted the importance of a diverse team including traditional technology innovators and skilled tradesmen, noting a shortage in skilled labor and the need for educational institutions to address this gap. No further timeline was disclosed at the time of publication.
China's Robots Learning Human Skills Through Real-World Simulations
In a discreet industrial park in suburban Beijing, a humanoid robot is meticulously stacking bags of chips on a shelf. Nearby, workers are filming their actions of folding sheets and handling cushions, which will serve as 'textbooks' for the robots. China is undertaking a significant initiative to transition robots from laboratories to simulated environments like supermarkets, factories, and homes to learn human skills, and the scale of this 'internship' is rapidly expanding. This initiative is crucial as robots need to understand the physical world's rules, such as how to hold an egg without breaking it or catch a cup of water before it slips off a tray. Unlike the U.S., which relies on data purchasing and low-cost data collection in countries like India and Vietnam, China has established at least 64 data collection and training centers nationwide, with over 20 more under construction. At the Beijing Humanoid Robot Innovation Center, more than 120 robots are being trained across 30 scenarios in six major sectors, forming a comprehensive 'robot training network' across the country. As hardware advancements continue, Chinese robotics companies are focusing on enhancing their AI capabilities. Yushu Technology is preparing for an IPO, pledging nearly half of its $610 million fundraising to AI model development. By mid-2026, funding in China's embodied intelligence sector has already exceeded 90 billion yuan, five times that of the previous year. With plans to deploy over 1,000 humanoid robots in factories this year and more than 10,000 by 2027, China is leveraging its organizational capabilities to collect data at scale, positioning itself advantageously in the race towards general intelligence.
Humanoid Robots AI Robotics Training Data Collection Automation
Automakers Seek Reliable Robots for Long-Term Performance Over Flashy Demonstrations
At the 2026 Embodied Intelligence Industry Integration Conference, industry leaders emphasized the need for robots that can operate reliably for extended periods without errors. Executives from companies like Beijing Galaxy General Robotics and Changan Automobile highlighted that automakers prioritize robots capable of consistent performance over flashy capabilities. The discussion revealed that many applications in automotive manufacturing, such as material handling and quality inspection, still lack effective solutions. High labor intensity and safety concerns drive the demand for robots that can maintain precision and efficiency over long operational hours, as noted by industry experts. Looking ahead, the focus will shift towards developing adaptable robots that can quickly integrate into various factory layouts without extensive reprogramming. The concept of 'Design for Robot' was introduced, aiming to reshape factory processes around robotic capabilities. No further timeline was disclosed at the time of publication.
Industrial Robotics Manufacturing Automation Automotive Technology Robotic Process Automation
Smart Wheelchair Captivates Attention at Stanford AI Summit Over Humanoid Robots
At the Humanity & AGI Summit held at Stanford University, a smart wheelchair presented by Fu Sheng, Chairman of Cheetah Mobile, garnered significant attention, overshadowing humanoid robots. Attendees were drawn to the wheelchair's autonomous obstacle avoidance and user-friendly features, prompting many to experience it firsthand. The interest in the smart wheelchair highlights a critical shift in the robotics landscape, as Fu Sheng noted that humanoid robots are unlikely to achieve commercial scalability in the next five to ten years. He emphasized that the current limitations in software and hardware development hinder the practical application of humanoid robots, with most sales directed towards research institutions rather than commercial markets. Looking ahead, the focus on practical solutions like the smart wheelchair suggests a growing recognition that functionality is more important than form in robotics. As the industry continues to evolve, the demand for effective, user-centric products will likely shape future innovations, steering attention away from humanoid designs towards more practical applications.
Smart Wheelchairs Humanoid Robots AI Technology Robotics Assistive Devices
Researcher Uncovers Systemic Vulnerabilities in LLMs, Urges Caution in Deployment
Researcher Dave Kuszmar has identified multiple systemic vulnerabilities in large language models (LLMs) that allow for the bypassing of safety protocols, enabling access to dangerous instructions. This discovery highlights a significant security issue across nearly all major LLMs, prompting Kuszmar to advocate for a slowdown in deployment and increased transparency in LLM safety research. The implications of Kuszmar's findings are profound, as they reveal that the very restrictions intended to secure LLMs can be manipulated by attackers to access harmful information. Despite efforts by large AI companies to fortify their models, Kuszmar's experience indicates a troubling lack of responsiveness from these organizations when vulnerabilities are reported. This raises concerns about the safety of LLMs, which are becoming increasingly accessible to the general public. Looking ahead, Kuszmar's call for large-scale research into LLM safety is critical as these technologies continue to integrate into society. The ease with which LLMs can be convinced to provide harmful instructions poses a significant risk, and without proper oversight and security measures, the potential for misuse remains high. No further timeline was disclosed at the time of publication.
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Peter J. Denning Challenges Alan Turing's AI Assumptions in New Book
Prominent computer scientist Peter J. Denning argues that Alan Turing's foundational assumptions about artificial intelligence may have misled AI research for 75 years. In his book, 'Turing's Mistake: Escaping the Yoke of Unintelligent Machines,' Denning critiques Turing's belief that intelligence can exist independently of a physical body and that machines can demonstrate intelligence through human-like conversation. Denning emphasizes that these assumptions have shaped AI development, leading to a focus on artificial general intelligence (AGI) that he believes is unlikely to succeed. He warns that the technologies being developed could pose significant new risks, particularly due to the limitations of machine learning in capturing tacit knowledge, which includes common sense, emotions, and practical skills. The book highlights the challenges of encoding tacit knowledge into machines, citing the Cyc project as an example of the difficulties in organizing common sense. Denning's insights suggest that the pursuit of AGI may overlook the complexities of human intelligence, raising questions about the future direction of AI research. No further timeline was disclosed at the time of publication.
12 States File Lawsuit to Block Paramount's $110 Billion Merger with Warner Bros. Discovery
A coalition of 12 state attorneys general has initiated a lawsuit to prevent the merger between Paramount Skydance and Warner Bros. Discovery (WBD). Led by California Attorney General Rob Bonta, the coalition claims that the merger would violate the Clayton Act by significantly reducing competition in theatrical film distribution and basic cable licensing. The lawsuit highlights concerns that the merger would consolidate power in the entertainment industry, giving Paramount control over 27% of the U.S. film distribution market and 30% of blockbuster movie distribution. Critics, including filmmakers and industry professionals, argue that this consolidation could lead to higher prices and fewer opportunities for diverse storytelling. As the legal battle unfolds, Paramount maintains that the merger would allow the combined studios to produce 30 films annually. No further timeline was disclosed at the time of publication.
Government & Policy Media & Entertainment Mergers and Acquisitions Paramount Warner Bros
ForSight Robotics Completes First Fully Robotic Cataract Surgery with JASPER Platform
ForSight Robotics has successfully completed the world's first fully robotic cataract surgery using its JASPER platform, led by Dr. Alexey Rapoport in April 2026. This groundbreaking procedure was performed at the Asian Eye Institute in the Philippines, showcasing JASPER's ability to execute the entire surgery autonomously without general anesthesia, adhering to modern cataract surgery standards. The significance of this achievement lies in JASPER's unique design, which empowers surgeons rather than replacing them. By integrating AI algorithms, advanced computer vision, and miniature mechanical technology, JASPER provides enhanced imaging and precision control, allowing surgeons to perform with the accuracy of elite professionals. This innovation also addresses ergonomic concerns, as it enables surgeons to operate seated, potentially extending their careers and improving surgical outcomes. Looking ahead, ForSight Robotics aims to secure FDA approval for JASPER in the United States, with plans to bring this technology to market in the coming years. The company has raised $195 million since its founding in 2020, with significant investments from notable figures and organizations. No further timeline was disclosed at the time of publication.
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Asylon's MARIA System Enhances Aircraft Inspections for U.S. Air Force
Asylon has secured a Phase Three contract with the U.S. Air Force's Warner Robins Air Logistics Complex to deploy its Multi-modal Autonomous Robotics for Inspection of Aircraft (MARIA) system. This initiative aims to streamline aircraft inspections by integrating air and ground robotic platforms, significantly reducing the time for general visual inspections while enhancing consistency in maintenance tasks. The MARIA system combines Asylon's Guardian unmanned aircraft with the DroneDog Q-UGV, utilizing the Range autonomy software and DroneIQ command-and-control system for efficient inspection management. The significance of this deployment lies in its potential to transform aircraft maintenance operations. By automating inspections, the MARIA system not only improves inspection quality but also mitigates the risks associated with labor-intensive tasks. The integration of imagery, LiDAR data, and telemetry into a single platform allows maintenance personnel to make informed decisions quickly, thereby enhancing aircraft readiness without increasing manpower demands. This project marks a pivotal shift in how the Air Force approaches maintenance, leveraging autonomous technologies to optimize operational efficiency. Looking ahead, the success of the MARIA deployment at Warner Robins could lead to broader adoption of these technologies across military maintenance organizations. No further timeline was disclosed at the time of publication, but the ongoing collaboration between Asylon and the Air Force may pave the way for future advancements in defense sustainment operations, particularly in the realm of autonomous inspections and maintenance support.
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Epson Unveils Digital Solutions at 2026 China B2B E-commerce Expo
From July 4 to 5, 2026, the China B2B E-commerce Expo took place in Hangzhou, showcasing various enterprise service providers and e-commerce platforms. Epson (China) Co., Ltd. presented multiple collaborative solutions alongside ecosystem partners, engaging directly with clients to better understand B2B user needs and foster ecosystem cooperation. The significance of Epson's participation lies in its strategic focus on addressing industry pain points, such as the competitive pricing of B2B hardware and shrinking profits for service providers. The company introduced its Nebula Plan ecosystem, which emphasizes a four-tier development logic: product solutionization, solution productization, product service integration, and business ecosystem development. This approach aims to connect supply and demand effectively through an online platform that links quality partners across the nation. Epson showcased standardized digital solutions tailored to government and enterprise client needs, including intelligent receipt robots and RFID asset coding solutions. The interactive nature of the event attracted significant client interest, indicating a strong market demand for comprehensive solutions. No further timeline was disclosed at the time of publication.
B2B E-commerce Digital Solutions Ecosystem Collaboration Business Growth
AI Models Overthink Problems—and It’s a Security Risk
Large language models (LLMs) that can think through problems step-by-step have significantly increased the scope of tasks that AI can tackle. But new research suggests these reasoning capabilities also introduce a critical vulnerability that could allow attackers to slow these systems to a crawl.While earlier generations of LLMs would immediately produce a response to a user’s request, today’s most advanced models generate an internal monologue where they break down the problem into steps and reason about the best way to tackle it before providing an answer. This has allowed AI to tackle increasingly complex problems, particularly in areas like coding and math.However, previous research has shown that these models are susceptible to sometimes producing excessively long streams of reasoning that do little to boost performance, a phenomenon known as “overthinking.” In research presented this week at the International Conference on Machine Learning 2026 in Seoul, researchers from Zhejiang University and e-commerce giant Alibaba in China demonstrate that they can deliberately induce overthinking by subjecting models to logically inconsistent prompts. The result is a form of denial-of-service attack on commercial AI models.Evolutionary Prompt Attack on LLMsThe team has developed an evolutionary algorithm that corrupts the logical structure of prompts, causing models to spiral into overthinking as they attempt to reason through fundamentally unsolvable problems. Generating longer responses costs more and increases the load on a model provider’s servers, so if done at scale, the researchers say, this could significantly degrade the experience of legitimate users. The attack was effective against reasoning models from leading AI companies including DeepSeek-R1, Alibaba’s Qwen3-Thinking, OpenAI’s GPT-o3, and Google’s Gemini 2.5 Flash and resulted in outputs up to 26 times as long as standard responses on a standard math benchmark.“Across multiple datasets and reasoning models, our method substantially amplifies the output length,” Wei Cao, a masters student at Zhejiang University, wrote in an email to IEEE Spectrum. “Our results suggest that overthinking is not an isolated phenomenon specific to individual models, but rather a shared vulnerability among modern reasoning models.”The team’s approach builds on previous research from another group of researchers that showed reasoning models tend to overthink when faced with a question in which a key premise has been removed—such as asking how far someone who walks ten miles a day covers in total without specifying how many days they walked for. Rather than identifying that the problem is unsolvable, models often engage in extended but ultimately fruitless reasoning loops in an attempt to answer the question.Taking the idea a step further, the authors took 940 problems from three math benchmark datasets and used an LLM to break down their logical structure into a set of premises and a final question. The genetic algorithm then jumbled these up using a variety of “mutations,” including swapping premises between problems, adding extra premises to problems, deleting existing premises from problems, and swapping the final questions between two sets of premises.After each round of mutations, the problems are scored on how many words they cause a target model to output and also whether they increase the frequency of specific linguistic markers of overthinking—words like “but,” “wait,” “maybe,” or “alternatively.” The problems that scored highest on both measures are retained and the remaining ones are jumbled up again, and this process is repeated for five generations. Crucially, the approach doesn’t require access to the internals of a model and can generate malicious prompts by simply querying the target, which makes it possible to attack closed-source commercial services, says Cao.Overthinking Vulnerability in AI ModelsThe researchers found that the approach consistently led to outputs several times longer than those generated by the unmodified questions for the reasoning models they tested it on. The biggest jump came from DeepSeek-R1 on the MATH dataset, which is made up of problems from high school math competitions, where the maximum output was 26.1 times as long as the longest response the model provided to unaltered questions. While the main thrust of the research was focused on math problems, the authors also tested it on coding, scientific reasoning, and dialogue challenges, and observed significant jumps in output length in all three.One challenge for the approach is that developing the malicious prompts requires repeated queries to expensive reasoning models, which Cao admitted could limit its cost-effectiveness. However, the researchers also demonstrated that when they used a smaller, cheaper model to generate the malicious prompts they were still able to induce the target models to produce outputs several times longer than normal. This ability to transfer malicious prompts between models significantly increases the attack’s feasibility, Cao wrote.However, he pointed out that the goal of the research is not to develop a practical DoS attack on reasoning models. Factors like the providers’ pricing model, rate limiting policies, context window size, and existing defenses could all impact how effective the approach is. The intention is instead to highlight these models’ vulnerability to logically inconsistent prompts so that providers can attempt to mitigate the problem.“Our objective is not to demonstrate that large-scale attacks can be launched at negligible cost, but rather to establish that this attack surface exists,” he wrote. “Our results indicate that the vulnerability represents a realistic security concern.”
Llms Artificial-intelligence Denial-of-service Cybersecurity
Japan's Shimizu bets on humanoid robots to tackle construction labor crunch
Artificial intelligenceJapan's Shimizu bets on humanoid robots to tackle construction labor crunchCompany eyes fiscal 2030 for robots that can walk around, paint and coat wallsShimizu is testing out the ability of this robot from China's Unitree to patrol construction sites on foot. (Photo by Kohei Okuyama)KOHEI OKUYAMAJuly 8, 2026 05:02 JSTTOKYO -- Japanese general contractor Shimizu plans to introduce AI-powered humanoid robots at its construction sites by around fiscal 2030, aiming to have them handle such work as painting and plastering in a bid to alleviate the industry's severe labor shortages, Nikkei has learned.Read NextArtificial intelligenceJapan eyes AI-powered comeback in factory robot race with China, EuropeConstructionJapan builders turn down big projects because of labor crunch: pollArtificial intelligenceJapan backs SoftBank-led AI models with up to $6.2bn in chasing US, ChinaBusiness dealsJapan's Shimizu to buy Okinawa-based builder focused on US military basesTechnologyVideo game engines find new homes in construction and retailBusiness dealsJapan builder Obayashi buys peer Multiplex Global for $540mLatest on Artificial intelligenceArtificial intelligenceCan China and US find common ground on AI governance in Geneva?Artificial intelligenceJapan weighs AI-powered disaster relief distributionArtificial intelligenceChinese AI usage by US firms soared after Mythos restrictionsSponsored ContentAbout Sponsored ContentThis content was commissioned by Nikkei's Global Business Bureau.
Japan Pioneered Humanoid Robots—Can It Now Catch China?
“In the future, the relationship between humans and robots will deepen, and the distinction between them will probably disappear.” This prediction, from one of the attendees at the recent Humanoids Summit in Tokyo, might have been unremarkable had it not come directly from an android that was first introduced to the world 20 years ago. Geminoid HI-6 is the sixth-generation of a robot originally designed in 2006. The mechanical twin of Osaka University professor Hiroshi Ishiguro, Geminoid HI-6 is now equipped with a large language model trained on Ishiguro’s own writings and interviews. It has advanced conversational skills and can even have a chat with its creator, an eerie spectacle. But at the Humanoids Summit, Geminoid was one of the few humanoid robots from Japan, the country that pioneered the form factor.While the event in Tokyo only had about 40 robots on display, Chinese systems outnumbered Japanese by roughly three to one. Some Japanese robotics firms were even using Chinese robots in their own technology demonstrations, something that would have been unthinkable in the recent past—one Japanese engineer described the situation as “sad.” The conference was a stark reminder of how Japan has ceded its early lead in humanoid robot development to overseas competitors, and the challenge it now faces to secure a place in an ecosystem increasingly dominated by general-purpose robots powered by AI. Twenty-five years ago, Japan was turning out groundbreaking humanoids that were showstopping in their abilities, but they were not commercialized as practical machines in any meaningful way. Heavily influenced by science fiction and lacking practical applications, they were mostly expensive technology demonstrations that were eventually mothballed. What Japan retains, however, is robotics design and know-how, which it must leverage to be a key player in the rapidly evolving humanoid ecosystem. Learning to Walk—Then Standing StillTo anyone who has seen recent videos of Chinese humanoids doing kung-fu and synchronized acrobatics, as well as half-marathon races, China’s remarkable progress in the field is nothing new. At the Humanoids Summit, Toyota showed a video of its latest basketball-playing robot, and Honda exhibited its latest robot hand, but the full-scale humanoids on the floor were mostly Chinese–the kid-size K1 machines from Booster Robotics of Beijing were dancing to Michael Jackson tunes. The full-scale G1 humanoid from Unitree Robotics of Hangzhou was also doing demos. “You cannot sell these bipedal systems in Japan for safety and compliance reasons,” says Shuichi Nagao, a frequent visitor to China as CTO of Omakase Robotics, a division of Zeals, a Japanese humanoid robot developer. Omakase was exhibiting a G1 modified with an external PC controller, a dextrous hand, a suction-cup manipulator and a sensor “hat” with an extra speaker, mic and camera. “In China, the government is pushing humanoid development. They didn’t have an industry 20 years ago. The people pushing it are young, in their 20s and 30s. It’s a really different mentality out there,” says Nagao. “Big players in Japan are still looking for use cases for humanoids. In China, they’re already doing mass production and reducing the cost, so other countries can’t compete with them anymore.”Another Japanese company showing off G1 bots was summit sponsor GMO AI & Robotics, a subsidiary of Japanese internet company GMO. It’s using the robots in partnership with Japan Airlines to load and unload cargo containers at Tokyo’s Haneda airport. The cargo project is a trial—like many other humanoid experiments—but the fact that Chinese machines have penetrated so far into Japan’s ecosystem upends a long history. In 1973, scientists at Waseda University in Tokyo built WABOT-1, considered the first full-scale humanoid robot and capable of slow bipedal locomotion, grasping objects and simple communication. It inspired Honda’s groundbreaking Asimo humanoid, but it was never commercialized. Asimo was eventually retired in 2022, the year ChatGPT was released. Two years later, Unitree’s G1 went on sale for US $16,000. China’s High Torque Technology Co. showed off its Mini Pi biped, customized with an anime-inspired head, at Humanoids Summit in Tokyo. The regular version is priced at $3,500. Tim HornyakSupply and DemandJapan’s development of humanoids happened before practical applications or widespread demand were in place, but bad timing is only part of the story—Japan also has a history of developing technologies that might appeal to domestic consumers but not necessarily those overseas. For example, decades after they first appeared, its highly engineered, multifunction toilets have only recently found a following abroad. Japan’s humanoid prowess was partly built on the back of its legendary industrial automation, yet even that stronghold has eroded. Ani Kelkar, a partner from McKinsey & Company in Boston who produces analytical reports about the robotics industry, told the summit audience that while Japan occupied the top spot in the world in manufacturing robot density (the number of multipurpose industrial robots in operation per 10,000 employees) from at least 1994 to 2009, it then slipped to second in 2014, third in 2019 and fifth in 2024. In that year, South Korea was at the top of the leaderboard with a robot density of 1,220 compared to Japan’s 446. The International Federation of Robotics estimates China now has the most operational industrial robots in the world, with around 2 million total units, approximately 4.5 times more than Japan. “The annual installation numbers are impressive too: 54 percent of all robots installed worldwide in 2024 were deployed in China,” the IFR said in a release in April 2026. “I think the loss of Japanese leadership is more to do with the rise of China as a manufacturing powerhouse including for sectors that Japan had high export levels,” Kelkar said in an email interview. “The recovery has not yet happened as Japan ‘missed’ the rapid acceleration in AI for robotics and is now playing catchup.”How Japan Can Adapt Kelkar believes Japan has a US $100 billion opportunity in general-purpose robotics, which are machines that can perform a wide variety of tasks, and it cannot rely on the slower-growing industrial robot market, which is centered on factory machines that do one simple and predictable task like welding car parts. He points to a McKinsey white paper suggesting that while Japan has much of the hardware and technology experience needed to support general purpose robot development, it must change its strategy to capture more share in AI, software, data collection and robotics platforms.Tetsuya Ogata is a professor of engineering and director of the Institute for AI and Robotics at Waseda University, the birthplace of humanoids in Japan. He briefed the summit on how a nonprofit he chairs, the AI Robot Association (AIRoA), is working with Toyota and other members to develop foundational technologies for collaborative use. For instance, AIRoA has collected some 80,000 hours of data on remote operation of mobile manipulators, and Ogata believes it’s the largest dataset of its kind. Using the data, it built and verified Vision-Language-Action (VLA) models, and it has also started data collection for dual-arm mobile manipulation. In an interview, Ogata acknowledged Japan’s struggle to find its place in the changing landscape. “The world of AI is inherently a game of scale,” says Ogata. “Therefore, Japan’s absolute prerequisite is to secure a competitive baseline of scale—in data, computing resources, and talent. Beyond that, what I consider most critical is a mindset shift: rather than trying to hoard scale within a single nation or company, we must grow stronger by collaborating with a diverse ecosystem of domestic and international players.” Specifically, this means creating a ‘collaborative domain’ to address data—the single biggest bottleneck—through industry-wide cooperation rather than data-siloing. By collectively nurturing a pre-competitive, shared data infrastructure and foundation model, individual companies can then compete on top of it with their own applications. “By offering this open ‘data ecosystem’ to the world, we can engage global players and establish a ‘third pole’ alongside the US and China,” says Ogata. “I believe this is how Japan can reclaim its global presence.”In 1999, Japan introduced the world’s first mobile internet services platform. But being first didn’t turn Japan into a smartphone manufacturing or design center—it’s now merely a supplier of parts to other countries who are leading the smartphone industry. If Japan can avoid a repeat of that experience and successfully deregulate, diversity, and commercialize its original humanoid dreams, it stands a better chance of influencing the direction of the industry and reaping billions in value. As automobiles and electronics were pillars of Japan’s industrial strategy in the last century, Japan could make humanoid robots one of its key value generators in the 21st century, an approach that would not only deliver economic benefits but give Japan greater clout in how the industry will evolve. Just like Japanese cars, electronics, and even toilets, Japanese humanoids could stand for craftsmanship and reliability. It’s a legacy that Japan can’t afford to give up.
Japan Robotics Humanoids Humanoid-robots
GM lays off over 1,000 workers at Detroit plant, adds 50 robots: ‘We are in a fight for humanity.’ Progress or betrayal?
General Motors has laid off over 1,000 workers at its Factory ZERO assembly plant in Detroit while introducing 50 AI-powered collaborative robots, known as "cobots," to enhance production efficiency. The layoffs, announced on July 4, 2026, have sparked criticism from the United Auto Workers (UAW), which claims the move underscores the human cost of increasing automation in the industry. UAW President Shawn Fain emphasized the need for AI to improve job quality rather than displace workers, stating, "We are in a fight for humanity." GM insists that the layoffs are temporary and unrelated to the introduction of the robots, which are intended to work alongside human employees to improve safety and ergonomics. A GM spokesperson noted that the company is committed to integrating advanced technology into its operations to enhance manufacturing processes. The automaker has been investing heavily in AI and factory automation, with its Autonomous Robotics Center in Warren, Michigan, developing systems that can learn from production data to identify defects and anticipate maintenance needs. The situation at GM contrasts with rival Ford, which recently rehired 350 employees to address shortcomings in its AI-driven quality control efforts. As the automotive industry increasingly turns to automation, the long-term implications for workers and manufacturing quality remain uncertain.
Roundtable Forum: The Real Landscape of AI Venture Capital Beyond Consensus
In a recent roundtable discussion on the evolving landscape of artificial intelligence (AI) investment, industry leaders emphasized the importance of acting ahead of consensus to seize opportunities. The forum featured prominent figures such as Zhu Tianyu, managing partner at BlueRun Ventures, and Qin Shentao, founder and CEO of OriginFlow, who shared insights on their early investment strategies. Zhu, who joined BlueRun in 2009, highlighted his early investments in successful companies like Li Auto and Genspark, noting that he made quick decisions based on a structured understanding of global challenges rather than just project details. He expressed confidence in OriginFlow’s potential, which focuses on non-invasive neural interfaces for embodied intelligent robots, aligning with key trends in artificial general intelligence (AGI), robotics, and 3D interaction. Qin, a Tsinghua University PhD, explained that OriginFlow aims to revolutionize how intelligent systems interact with the physical world, addressing a significant gap in data collection and processing. Within just five months of operation, the company secured over 500 million RMB in funding, demonstrating strong market interest. Both leaders acknowledged the challenges of navigating the current AI investment climate, characterized by rapid funding influxes and potential market bubbles. They stressed the need for investors to discern genuine innovation from fleeting trends, emphasizing that true value lies in solving fundamental problems rather than chasing hype. As the discussion concluded, they reiterated their commitment to fostering groundbreaking advancements in AI and embodied intelligence.
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
