Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
How Motor Controllers Influence Robot Accuracy and Energy Efficiency
As the robotics sector rapidly evolves, industries including manufacturing, healthcare, logistics, and agriculture are increasingly reliant on advanced motion control technologies. This surge in demand is largely driven by the need for precise and energy-efficient solutions to enhance operational efficiency. Central to many of these modern robotic systems are Brushless DC (BLDC) motors, which are celebrated for their high efficiency, reliability, and extended lifespan. However, the optimal performance of these motors is contingent upon effective control strategies and integration within robotic frameworks. As companies seek to leverage the advantages of BLDC motors, ongoing innovations in motion control technology are expected to further enhance the capabilities of robotic systems across various sectors.
Components Engineering amrs autonomous mobile robots BLDC motor controllers BLDC motors
China builds rice-sized sensor that lets surgical robots feel touch in real time
Chinese researchers have unveiled a groundbreaking optical sensor the size of a grain of rice, designed to enhance the capabilities of surgical robots. This innovative technology, introduced recently, aims to improve precision in minimally invasive surgeries by providing real-time imaging and feedback during procedures. The development is driven by the need for more effective surgical tools that can reduce recovery times and minimize complications for patients. By integrating this compact sensor into robotic systems, the researchers hope to revolutionize surgical practices, making them safer and more efficient. The sensor's small size allows for easy incorporation into existing robotic frameworks, paving the way for its potential widespread adoption in medical facilities.
Gravity Develops Unified Framework for Long-Range Complex Robotic Tasks
Gravity has introduced a unified embodied intelligence framework designed for long-range and complex robotic tasks. This framework, built on a Mixture-of-Transformers (MoT) architecture, integrates visual language models (VLM) for instruction and scene understanding, task reasoning, and world modeling to predict future states and evaluate sub-goals. It also incorporates tactile and force feedback, prior knowledge, and multi-modal supervision to enhance task execution and adaptability. The significance of Gravity's framework lies in its ability to improve the success rate of complex operations that require precise contact and autonomous error correction. By combining AR Transformer and Diffusion Transformer, Gravity enables robots to simulate multiple strategies and assess risks before executing tasks. This advancement shifts robotic capabilities from reactive responses to proactive planning, making it suitable for applications in precision assembly, complex sorting, and flexible manufacturing. Looking ahead, Gravity aims to further develop its complete system, having already implemented components like Gravity VLA and Gravity 4D WAM. The focus will be on enhancing the framework's ability to learn from real-world experiences, thereby creating a continuous feedback loop that improves operational efficiency and adaptability in various industrial contexts. No further timeline was disclosed at the time of publication.
Robotic Frameworks Embodied Intelligence Task Automation Machine Learning Robotics
FORT Robotics Enhances AI Safety with Nvidia Halos at Automate Conference
FORT Robotics has joined the Nvidia Halos for Robotics ecosystem to enhance safety for autonomous robots. The company will showcase its agentic safety application, developed using the Nvidia Halos Outside-In Safety Blueprint, at the Automate conference in Chicago. This innovative solution utilizes external infrastructure sensors and visual AI agents to provide real-time, safety-certifiable functional safety, significantly improving operational efficiency in dynamic environments. The collaboration is significant as it addresses the limitations of traditional inside-out functional safety systems, which rely solely on onboard sensors. By integrating Nvidia's IGX Thor and Holoscan Sensor Bridge, FORT's solution allows robots to operate safely alongside human workers in high-efficiency modes. This adaptability is crucial for modern warehouses and factories, where environments are constantly changing, and safety frameworks must evolve to protect workers effectively. Looking ahead, FORT's integration with Nvidia Halos is expected to provide substantial value to customers in warehousing, manufacturing, and other automated sectors. The Outside-In Safety framework aims to prevent safety incidents in mixed human-robot environments, optimizing processes like inventory replenishment and product assembly. No further timeline was disclosed at the time of publication.
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NVIDIA and Hugging Face Bring New Models and Frameworks to LeRobot for the Open Robotics Community
New LeRobot integrations give developers open access to NVIDIA Isaac GR00T 1.7, Isaac Teleop, datasets and robotics workflows, with NVIDIA Cosmos 3 integration planned to bring frontier world models to open robotics development.
NVIDIA and Hugging Face Bring New Models and Frameworks to LeRobot for the Open Robotics Community
Open source AI has shown how quickly developers can innovate when models, data and tools are shared. Robotics has the same opportunity, but advancements in physical AI development can still be gated by costly and fragmented resources, from large ...
Open source hardware for robotics: Democratizing robot building
In recent years, discussions surrounding open-source robotics have predominantly centered on software, particularly the Robot Operating System (ROS), which has established itself as a leading framework for robot development. However, the narrative is evolving as a diverse ecosystem of open-source hardware platforms emerges, significantly reducing barriers for developers and innovators in the field. This shift is occurring against the backdrop of a growing demand for accessible robotic solutions, driven by advancements in technology and an increasing interest in automation across various industries. The integration of open-source hardware with existing software frameworks is fostering collaboration and innovation, enabling a broader range of participants to contribute to and benefit from the robotics revolution. As this trend continues to gain momentum, it is reshaping the landscape of robotics, making it more inclusive and accessible to a wider audience.
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NVIDIA and Hugging Face Enhance LeRobot with New AI Models and Frameworks
NVIDIA has expanded its collaboration with Hugging Face to enhance the LeRobot open-source robotics platform with new AI models and frameworks. This integration includes the NVIDIA Isaac GR00T 1.7 vision-language-action model and the Isaac Teleop framework, aimed at streamlining robot development. The partnership seeks to make advanced robotics tools more accessible to developers and researchers, with plans to incorporate NVIDIA Cosmos 3 in the future. This collaboration is significant as it addresses the fragmented nature of robotics development by providing standardized workflows for data collection, model training, and robot deployment. The introduction of the Isaac Teleop framework allows for high-quality training data collection through human demonstrations, which can be shared within the LeRobot ecosystem. By lowering barriers to entry, NVIDIA and Hugging Face aim to foster broader collaboration in the robotics community. Looking ahead, NVIDIA plans to integrate the Cosmos 3 model into LeRobot, which will generate synthetic robotics data and assist in policy development. The collaboration builds on existing resources, including a dataset with over 350,000 robot trajectories and 57 million grasp examples. No further timeline was disclosed at the time of publication.
AI and Robotics
NVIDIA and Hugging Face bring new models and frameworks to LeRobot
Hugging Face has announced an update to its open-source robotics library, LeRobot, which is designed for training, running, and sharing robot datasets, models, policies, and workflows. This development comes in collaboration with NVIDIA, which is contributing new models and frameworks to enhance the capabilities of LeRobot. The partnership aims to streamline the process of robotics development and foster innovation in the field. This initiative is part of a broader effort to advance artificial intelligence and machine learning applications in robotics, making it easier for developers and researchers to access and utilize sophisticated tools. The announcement was made public recently, highlighting the growing synergy between AI and robotics as industries seek to leverage these technologies for improved automation and efficiency.
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ABB Robotics completes its AI-powered Visual SLAM AMR portfolio with new autonomous forklift
ABB Robotics completes its AI-powered Visual SLAM AMR portfolio with new autonomous forklift Visit http://go.abb/robotics for further information -The new Flexley Stack F712 extends ABB Robotics’ AI-powered Visual SLAM technology to autonomous forklifts, enabling pallet transport and high-density storage. -Customers can now deploy mixed fleets of Visual SLAM-powered tugs, movers and forklifts on a common navigation, fleet management and software platform. -Powered by ABB Robotics' AMR Studio, the portfolio enables up to 20% faster commissioning while ensuring seamless interoperability and safe, reliable operation. 07/07/26, 07:10 AM | Industrial Robotics, Mobile Robots | ABB Inc. ABB Robotics is expanding its Autonomous Mobile Robotics (AMR) portfolio with the launch of the Flexley® Stack F712, creating a complete interoperable ecosystem across all major Visual SLAM AMR types. Combining autonomous forklifts, tugs and movers on one platform, ABB Robotics enables customers to automate a broader range of material-handling and intralogistics processes. Offering market-leading accuracy, the F712 is designed for demanding material handling, end-of-line storage and warehouse operations across industries including automotive manufacturing, helping increase efficiency, flexibility and scalability. More Headlines A3's Automate 2026 Breaks Records as Demand for Robotics, AI and Automation Grows NVIDIA and Hugging Face Bring New Models and Frameworks to LeRobot for the Open Robotics Community Palladyne AI Executes $4.2 Million U.S. Air Force Contract to Advance Swarming Capabilities for Integrated Cross-Domain Operations UMA Unveils Its Vision for the Next Generation of Humanoid Robots Robbyant Unveils LingBot-Depth 2.0 and LingBot-Vision to Redefine Robotic Spatial Perception Articles Unleash AI Innovation: The Power of NVIDIA RTX PRO 6000 Blackwell Workstation Edition Fueled by PNY-Supplied GPUs Automate 2026 Q&A with DESTACO Automate 2026 Q&A with Roboteon Advances in Robots to See & Interpret within Warehouse Environments Building Resilient Fulfillment Networks with Robotics and Real-Time Logistics Data "Across intralogistics operations, businesses are being asked to process greater volumes in less time, while working with increasingly limited resources," said Marc Segura, President, ABB Robotics. "They are under pressure to move goods faster and with greater flexibility, while labour availability is becoming a critical constraint. As part of our journey to more autonomous and versatile robotics (AVRTM), we have combined advanced vision, mobility and intelligence in the Flexley Stack F712 forklift AMR, completing our scalable, AI-powered AMR portfolio." F712 is versatile, capable of handling multiple load types and sizes - including open and closed pallets, containers or racks- up to 2,000 kg and reaching heights of 8.5 meters. The Flexley Stack AMR F712 joins the Flexley Tug and Flexley Mover in ABB Robotics' growing Visual SLAM AMR portfolio. Applications include intralogistics tasks such as warehouse storage and retrieval, as well as line supply, end-of-line handling, body- and press-shop and drive-in and light buffer in the automotive and industries sector. Unlike conventional AMR forklifts on the market, F712 uses Visual SLAM to map and navigate its environment, eliminating the need for pre-installed infrastructure like markers or reflectors. The AI-enabled Visual SLAM supports the autonomous decisions required to operate in complex, dynamic warehouse operations with a market-leading positional accuracy of ±10 mm. Together with AMR Studio®, this shortens commissioning times by up to 20 percent and creates a versatile and reliable system that can adapt instantly when a warehouse or production floor layout changes. Certified to the latest ISO and ANSI safety standards, Flexley Stack F712 can safely operate at class-leading speeds of up to 1.7 m/s while loaded. F712 is fully integrated with AMR Studio and is VDA5050 compatible, enabling seamless integration with ABB Robotics' Visual SLAM AMRs and existing systems within a unified project. This makes it easy to manage complex projects and integrate different types of mobile robots. The no-code, drag-and-drop software suite supports rapid setup, fleet coordination, traffic management and real-time visualization, allowing ABB Robotics' tugs, movers and forklifts to operate together in the same layout for scalable turnkey automation projects. ABB Robotics as one of the world's leading robotics companies, is the only company with a comprehensive and integrated AI-powered portfolio covering robots, cobots and Autonomous Mobile Robots (AMRs), designed and orchestrated by our value-creating software. We help companies of all sizes and sectors - from automotive to electronics and logistics - to outperform by becoming more resilient, flexible and efficient. ABB Robotics is at the forefront of developing and commercializing a new generation of Autonomous Versatile Robotics
From prototype to deployment: Robotics lessons learned on the shop floor
During New York Tech Week, executives from Fauna, Ultra, and Standard Bots convened to address the challenges faced in deploying industrial robots. The panel discussion highlighted various obstacles that these startups encounter in the rapidly evolving robotics landscape. Participants shared insights on technological hurdles, market competition, and the need for regulatory frameworks that support innovation in the industry. The event served as a platform for these leaders to exchange ideas and strategies, aiming to enhance the efficiency and effectiveness of robotic solutions in various sectors.
Product Launch | myAGV Plus Redefines New Frontiers in Mobile Composite Robotics Education and Research
Elephant Robotics has unveiled the myAGV Plus, a cutting-edge mobile robot platform aimed at enhancing education, research, and algorithm validation. This launch aligns with the Ministry of Education's initiative to integrate artificial intelligence into educational frameworks. The myAGV Plus features substantial improvements in computing power, control, and perception, effectively connecting theoretical concepts with practical applications. This development is part of a broader effort to modernize educational tools and methodologies, ensuring that students and researchers have access to advanced resources for learning and experimentation.
Mobile Robots Educational Robotics AI in Education Research and Development Robotics Technology
SoftBank is creating a robotics company that builds data centers — and already eyeing a $100B IPO
Recent developments in the field of artificial intelligence and robotics highlight a reciprocal relationship between these technologies and infrastructure development. As industries increasingly rely on AI and robotics to enhance efficiency and productivity, the need for robust infrastructure becomes paramount. This interdependence was underscored at a recent conference held in San Francisco, where experts gathered to discuss the future of technology and its implications for urban planning and construction. The event, which took place in early November 2023, showcased innovative projects that utilize AI and robotics to streamline the construction process. Speakers emphasized that while advanced technologies can significantly improve infrastructure projects, the existing frameworks must also evolve to support these innovations. This dual requirement is driven by the growing demand for smart cities and sustainable development, prompting stakeholders to rethink traditional construction methods. Participants explored various strategies to integrate AI and robotics into infrastructure projects, demonstrating how these tools can optimize resource allocation, reduce waste, and enhance safety on construction sites. The discussions revealed a consensus that investment in both technology and infrastructure is essential for future growth and resilience in urban environments. As cities continue to expand and face challenges such as climate change and population growth, the collaboration between AI, robotics, and infrastructure development is expected to play a crucial role in shaping the cities of tomorrow. The insights gained from this conference are likely to influence policy decisions and investment strategies in the coming years.
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NVIDIA and Global Robotics Leaders Take Physical AI to the Real World
NVIDIA has announced a strategic partnership with key players in the global robotics ecosystem, which includes prominent developers of robot intelligence, major industrial robot manufacturers, and innovators in humanoid robotics. This collaboration aims to enhance the development of production-scale physical artificial intelligence. In conjunction with this initiative, NVIDIA introduced its latest Isaac™ simulation frameworks, designed to support the advancement of robotics technology. The partnership is part of NVIDIA's broader commitment to drive innovation in AI and robotics, addressing the growing demand for intelligent automation solutions across various industries.
Into the Omniverse: Physical AI Open Models and Frameworks Advance Robots and Autonomous Systems
NVIDIA is playing a pivotal role in advancing innovation in robotics and autonomy through open-source initiatives. By offering access to vital infrastructure, including simulation frameworks and artificial intelligence models, the company is fostering collaborative development among researchers and developers. This approach aims to expedite advancements in the field, ultimately enhancing the capabilities of robotic systems and autonomous technologies. The emphasis on open-source resources is designed to break down barriers to entry, allowing a wider range of contributors to participate in the evolution of these cutting-edge technologies. As a result, NVIDIA is not only positioning itself as a leader in the industry but also promoting a more inclusive and accelerated development environment for robotics and autonomy.
White House Eyes "Robotics Executive Order" as Trump Administration Pivots to Hardware
The incoming administration is developing a national robotics strategy aimed at enhancing the United States' competitive edge against China, as part of a broader initiative focused on advancing artificial intelligence in software. Commerce Secretary Howard Lutnick is spearheading discussions with key industry players, including Apptronik, Tesla, and Boston Dynamics. This strategy reflects a growing recognition of the importance of robotics and AI in maintaining technological leadership and economic strength on the global stage. The initiative is expected to outline specific goals and frameworks for collaboration between the government and private sector, fostering innovation and ensuring the U.S. remains at the forefront of robotics development.
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Hand Tracking Streamer: A Practical Bridge from Quest Hand Tracking to Robotics Teleoperation and Data Collection
In the field of research, the integration of high-fidelity hand-telemetry systems is frequently achieved through the use of specialized coding and tailored interfaces. These solutions are typically designed to function effectively within the confines of a specific laboratory setup, a particular machine, or a singular demonstration. This approach, while effective in isolated environments, raises concerns about scalability and adaptability across different research contexts. As researchers strive for more versatile and universally applicable systems, the reliance on bespoke solutions may hinder collaboration and innovation in the broader scientific community. The ongoing challenge is to develop standardized frameworks that can accommodate diverse setups while maintaining the high fidelity required for accurate telemetry data.
From sci-fi to reality: Physical AI’s future with Dr. Jan Liphardt
Dr. Jan Liphardt recently addressed the transformative role of modular AI systems in the field of robotics, highlighting the critical need for transparency and safety in interactions between humans and robots. This discussion sheds light on the evolving landscape of physical AI, moving from science fiction concepts to practical applications. Liphardt's insights are part of a broader conversation about ensuring that as robotic technologies advance, they do so in a manner that prioritizes user safety and fosters trust in these systems. The dialogue underscores the importance of developing guidelines and frameworks that govern the integration of AI in everyday life, ensuring that both the technology and its users can coexist harmoniously.
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Humanoid Robots Compete for Championship Belt in Global Fighting League
On July 16, the inaugural match of the Universal Robot Combat League (URKL) took place at the Nanshan Sports Center in Shenzhen, featuring 32 teams from around the world competing with the T800 humanoid robot. The championship belt, weighing 10 kilograms and valued at approximately 10 million yuan, is awarded to the winning team. This event is significant as it showcases the advanced capabilities of humanoid robots in dynamic combat scenarios, where they must accurately perceive, predict, and respond to opponents in real-time. The competition serves as a testing ground for the robots' structural integrity and algorithm efficiency, allowing developers to refine their designs and reduce potential failure rates in commercial applications. Looking ahead, the data collected from these matches will enhance AI decision-making capabilities, pushing humanoid robots beyond static demonstrations to dynamic autonomous responses. As the competition concludes, it will contribute to the evolution of foundational technologies and commercial frameworks, positioning Guangdong as a leading hub in the global robotics industry.
Humanoid Robots Robotics Competitions AI Technology Robotics Development
General Intuition Achieves $2.3 Billion Valuation with Innovative Robot Training Approach
General Intuition, a New York-based company, has proposed a groundbreaking approach to training robots using millions of hours of gaming footage instead of vast amounts of real-world data. In June 2026, the company completed a $320 million Series A funding round, achieving a valuation of $2.3 billion, led by renowned investor Vinod Khosla. The significance of General Intuition's method lies in its potential to revolutionize how robots learn spatial reasoning and physical intuition. By utilizing gaming data, the company claims to have pre-trained a spatial reasoning model that allows quadruped robots to navigate unfamiliar environments with minimal real-world data, challenging traditional training methods that rely heavily on real-world scenarios. Looking ahead, the success of General Intuition will depend on its ability to validate its technology in diverse real-world environments beyond office settings. The company's vision of creating a 'robot brain' for universal physical AI could redefine the operational frameworks for future robotics, potentially surpassing existing systems like Windows and Android in impact.
AI Robotics Gaming Technology Machine Learning
World Models at WAIC 2026: Bridging Understanding and Execution in Physical AI
The World Artificial Intelligence Conference (WAIC) 2026 highlighted the significance of world models as a crucial pathway for physical AI to transition from laboratory settings to real-world applications. The event featured a summit focused on the integration of world models and embodied intelligence, showcasing discussions led by Nobel laureates and industry leaders. This summit, organized by the WAIC committee and hosted by Daxiao Robotics, emphasized the need for machines to not only express but also understand and reliably act within the physical world. Key presentations included insights from Nobel laureate Sargent on the gap between AI expectations and human rationality, and a demonstration of the ACE technology stack by Daxiao Robotics' chairman, Wang Xiaogang, illustrating practical applications across various industries. The forum also introduced the PIQ platform, a unified evaluation benchmark for embodied physical intelligence, aimed at addressing industry challenges related to self-assessment and standardization. As industry representatives engaged in discussions about technical routes and implementation pathways, the event underscored the journey from theoretical frameworks to tangible industry applications, marking a pivotal moment in the evolution of physical AI.
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LimX Dynamics Raises $200 Million in Pre-IPO Funding, Achieves $21 Billion Valuation
LimX Dynamics, a humanoid robotics company, has successfully completed a Pre-IPO funding round, raising nearly $200 million and achieving a post-funding valuation of approximately $21 billion. This marks the company's first public valuation announcement, following a $200 million Series B round earlier this year, bringing the total funding raised in the past six months to $400 million. The significance of this funding lies in LimX Dynamics' rapid growth and its position as a leading player in the humanoid robotics sector. Founded in 2022 and headquartered in Shenzhen, the company has developed a comprehensive business model that integrates advanced humanoid robotics technology with global delivery capabilities. The diverse investor base, including prominent firms from China, Europe, and the Middle East, underscores the global confidence in LimX's technological roadmap and product capabilities. Looking ahead, LimX Dynamics is poised to continue its trajectory towards an IPO, with its Pre-IPO status indicating a shift in the industry towards established valuation frameworks. The company aims to transition from a technology-driven startup to a global leader in embodied intelligence, focusing on the integration of advanced motion control systems and humanoid robotics. No further timeline was disclosed at the time of publication.
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Variable Launches DMuon Optimizer to Improve Distributed Muon Model Infrastructure Efficiency by 30%
Variable Robotics has introduced the DMuon optimizer, enhancing the distributed Muon model infrastructure's efficiency by approximately 30%. This new optimizer addresses the additional computational and communication costs associated with using Muon in distributed training, which previously resulted in an end-to-end step time 2.2 times longer than AdamW. The significance of DMuon lies in its ability to maintain the faster convergence benefits of the Muon optimizer while reducing the end-to-end step time to just 1.02 times that of AdamW. This improvement is achieved through fine-grained communication optimization, computation-aware load balancing, and a high-performance kernel system, making DMuon a viable option for embodied model training without requiring changes to parameter update rules or training frameworks. Looking ahead, DMuon is expected to become a new default choice for embodied model training, as it effectively mitigates the redundant computations and communication overhead that previously hindered Muon's performance in distributed environments. No further timeline was disclosed at the time of publication.
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NVIDIA and Hugging Face Collaborate to Enhance LeRobot Open Source Community with Physical AI
NVIDIA and Hugging Face have joined forces to enhance the LeRobot open-source robotics library by integrating NVIDIA's Isaac GR00T 1.7 and Isaac Teleop frameworks. This partnership, announced recently, seeks to streamline the robot development process for developers by offering a comprehensive, standardized open-source pathway that encompasses everything from data collection to deployment. The initiative is designed to significantly reduce the barriers to entry for developers venturing into physical AI development, making it more accessible and efficient.
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Palladyne AI Executes $4.2 Million U.S. Air Force Contract to Advance Swarming Capabilities for Integrated Cross-Domain Operations
Palladyne AI Executes $4.2 Million U.S. Air Force Contract to Advance Swarming Capabilities for Integrated Cross-Domain Operations Visit http://www.palladyneai.com for further information Palladyne AI’s SwarmOS™ platform to support satellite integration, marking a major expansion of its multi-domain autonomy and ISR capabilities across space, air, maritime, and land 07/07/26, 06:15 AM | Mobile Robots, Other Topics | Palladyne AI Corp. Palladyne AI Corp. (NASDAQ: PDYN and PDYNW) ("Palladyne AI"), a developer of artificial intelligence software for robotic platforms in the defense and commercial sectors, today announced that it has executed the previously announced contract awarded by the Air Force Research Laboratory (AFRL) to solve one of the most persistent challenges in modern defense operations—how to make different autonomous systems work together as one coordinated team. The "Hierarchical Adaptive Networked Game-Theoretic Integration of Multiple Echelons (HANGTIME)" contract will address this need. More Headlines A3's Automate 2026 Breaks Records as Demand for Robotics, AI and Automation Grows NVIDIA and Hugging Face Bring New Models and Frameworks to LeRobot for the Open Robotics Community ABB Robotics completes its AI-powered Visual SLAM AMR portfolio with new autonomous forklift UMA Unveils Its Vision for the Next Generation of Humanoid Robots Robbyant Unveils LingBot-Depth 2.0 and LingBot-Vision to Redefine Robotic Spatial Perception Articles Unleash AI Innovation: The Power of NVIDIA RTX PRO 6000 Blackwell Workstation Edition Fueled by PNY-Supplied GPUs Automate 2026 Q&A with DESTACO Automate 2026 Q&A with Roboteon Advances in Robots to See & Interpret within Warehouse Environments Building Resilient Fulfillment Networks with Robotics and Real-Time Logistics Data Today, drones, ships, and satellites often operate largely independently, limiting how quickly warfighters can see and respond to threats. HANGTIME will utilize Palladyne AI's patented SwarmOS™ software platform—the defense variant of the Palladyne™ Pilot embodied AI software—as the baseline technology to bridge that gap, connecting disparate systems so they can share intelligence, adapt to changing conditions, and act in sync across domains, including space, air, maritime, and land. By integrating satellites for the first time, this project also extends Palladyne AI's technology from the ground to orbit, enabling faster, more informed decision-making and coordinated mission execution, turning tactical commanders into strategic commanders by giving them more cross-domain intelligence, surveillance, and reconnaissance (ISR) capabilities than ever before. "Our collaboration with AFRL showcases what's next for autonomous operations," said Ben Wolff, President and CEO, Palladyne AI. "This isn't about replacing humans—it's about giving them sharper, faster insight. By connecting satellite, aerial, and ground systems using the patented SwarmOS embodied AI platform as a foundational technology, we're helping the warfighter make better decisions in real time and stay one step ahead on the battlefield." "The HANGTIME project is a breakthrough that unites high-altitude assets and situational unmanned systems into one coordinated sensor network—delivering a major advantage for the defense industry," said Dr. Denis Garagic, Chief Technology Officer, Palladyne AI. "For the first time, a single AI framework can coordinate assets across multiple domains, including satellites. That means these systems can now think and act together as a team, sharing what they see and learning as conditions change." "The HANGTIME effort represents a critical step in multi-domain autonomy for coordinated execution in challenging environments," said Caleb Williams, Program Manager, AFRL/RIEA. For more information on Palladyne AI and its patented collaborative autonomy software, including SwarmOS, please visit www.palladyneai.com. For more information about AFRL, please visit www.afrl.af.mil. About Palladyne AI Palladyne AI is a U.S.-based technology company developing patented embodied artificial intelligence, collaborative autonomy solutions, advanced avionics, autonomous systems, advanced UAV engineering services, and precision-manufactured components for defense and industrial markets. Palladyne AI delivers secure, American-developed and operated platforms designed to meet the stringent requirements of U.S. government and public-sector customers, including data sovereignty, security, and compliance. Palladyne AI's embodied AI is designed to operate in complex, contested, and high-risk environments, enabling distributed tasking, human-on-the-loop decision-making, degraded-communications resilience, and multi-domain coordination. Its platform-agnostic autonomy stack combines real-time sensor fusion, adaptive AI models, and edge-native orchestration—without vendor lock-in—to support autonomous and collaborative systems across air, ground, maritime, and industrial domains w
Autonomique deploys semi-humanoid robots and AI at Canadian Tier 1
Autonomique has successfully transitioned its AI-powered semi-humanoid robots from pilot testing to full production at F&P Manufacturing. This significant development marks a pivotal step in the company’s strategy to enhance automation and efficiency within the manufacturing sector. The robots are set to be deployed across F-tech's global network, indicating a broader commitment to integrating advanced robotics into various operational frameworks. This move aims to streamline processes and improve productivity, reflecting the growing trend of utilizing artificial intelligence in industrial applications. The deployment is expected to commence shortly, further solidifying Autonomique's position in the robotics industry.
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People want robots in warehouses and factories, not hospitals or schools, Hexagon study finds
A recent global study by Hexagon reveals significant attitudes toward robots among adults, highlighting a clear preference for their use in specific tasks. While 68% of respondents favor robots for heavy lifting, only 12% are comfortable with robots taking on caregiving roles. The study, which surveyed adults worldwide, indicates that acceptance of robotic assistance is conditional; for instance, 52% of participants support robots for monitoring hazards, and half would welcome them for cleaning shared spaces or information retrieval. However, a substantial 86% emphasize the necessity of establishing clear guidelines regarding the capabilities and limitations of robots. Interestingly, the research also points to a generational shift in attitudes, with children showing a greater openness to robotic integration in various settings. They are 50% more likely than adults to view robots as "full colleagues" in the workplace, suggesting a growing acceptance of technology in everyday life. This evolving perspective on robotics underscores the importance of addressing concerns and establishing frameworks to facilitate their integration into society.
Ukraine’s AI drones entered ‘Terminator mode’ and killed Russian soldiers — no human fired
Concerns surrounding fully autonomous weapon systems have intensified as experts warn of the potential for these technologies to independently kill humans. The discussion gained traction during a recent international conference held in Geneva, where military officials, ethicists, and technologists gathered to address the implications of artificial intelligence in warfare. The event, which took place in early November 2023, highlighted the urgent need for regulatory frameworks to prevent the deployment of such lethal systems. Advocates for human oversight argue that the absence of accountability in autonomous decision-making could lead to catastrophic outcomes, raising ethical dilemmas about the role of machines in life-and-death situations. The motivation behind the call for regulation stems from the rapid advancements in AI and robotics, which have outpaced existing legal and ethical guidelines. Participants at the conference emphasized that without proper governance, the risk of misuse or malfunction could result in unintended casualties and escalate conflicts. Experts proposed a collaborative approach to developing international treaties that would ban or strictly regulate the use of autonomous weapons. This would involve governments, tech companies, and civil society working together to establish clear definitions and standards for AI in military applications. The discussions underscored the necessity of ensuring that human judgment remains central to military operations, thereby preventing machines from making irreversible decisions about life and death.
Military
Super Merge: Yuanli Lingji Leads the Next Phase of Embodied Intelligence
On June 5, Yuanli Lingji revealed its strategic acquisition of Atomix, a logistics robotics firm, signaling a pivotal development in the embodied intelligence sector. This merger, supported by prominent investors including Alibaba and SenseTime, seeks to integrate advanced robotics models with existing logistics frameworks. The collaboration aims to enhance scalability and facilitate the commercialization of innovative technologies, ultimately driving real-world applications within the logistics industry.
Embodied Intelligence Logistics Robotics AI Models Commercialization Industry Integration
Europe unifies autonomous vehicle laws, speeds up robotaxi expansion
Autonomous taxi services have experienced significant growth in major metropolitan areas across the United States, revolutionizing urban transportation. As of October 2023, companies specializing in self-driving technology have expanded their fleets and operational zones, responding to increasing demand for efficient and cost-effective travel options. The rise of these services is driven by advancements in artificial intelligence and robotics, enabling safer and more reliable rides without human drivers. Cities such as San Francisco, Los Angeles, and New York have become key testing grounds, where regulatory frameworks are evolving to accommodate this innovative mode of transport. The integration of autonomous taxis into public transit systems aims to alleviate traffic congestion and reduce carbon emissions, aligning with broader environmental goals. As these services continue to develop, stakeholders are closely monitoring their impact on urban mobility and the potential challenges they may pose to existing transportation infrastructures.
This Trump-linked startup plans to put humanoid robots in the military
Foundation Robotics Labs, a company linked to the Trump family, is planning to introduce humanoid robots for military use within the next 12 to 18 months. This initiative aims to enhance operational capabilities in defense settings, reflecting a growing interest in advanced robotics within the military sector. The deployment of these robots is expected to address various challenges faced by armed forces, potentially improving efficiency and safety in combat situations. As the company prepares for this ambitious rollout, it is likely to engage in partnerships and collaborations to ensure the successful integration of these technologies into existing military frameworks.
Award Registration! Top Scholars Discuss Micro Robots and Autonomous Navigation Innovations
A recent Cell Press Live event brought together three prominent experts to explore the latest advancements in autonomous navigation technologies. The discussion covered a range of applications, including self-driving cars, drones, and innovative drug delivery systems. Scheduled for a future date, the event offers free registration for attendees eager to gain insights into cutting-edge research in micro-robotics, light-driven robots, and optimization frameworks for enhancing autonomous systems. This initiative aims to inform and engage the public in the rapidly evolving field of autonomous technology, showcasing how these innovations can transform various industries.
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Eight tech giants deploy autonomous fleets across Singapore’s large-scale public test bed
Singapore is actively establishing itself as a global center for "physical AI," focusing on the development and deployment of robots and autonomous systems. This initiative is part of the country's broader strategy to enhance its technological landscape and drive economic growth. The government has been investing in research and development, fostering partnerships between academia and industry, and creating supportive regulatory frameworks to attract both local and international companies in the AI sector. The push for physical AI comes in response to the increasing demand for automation in various industries, including manufacturing, logistics, and healthcare. By 2025, Singapore aims to have a significant number of AI-driven solutions integrated into its economy, enhancing productivity and efficiency. The city-state's strategic location and advanced infrastructure further bolster its appeal as a destination for AI innovation. As part of this initiative, Singapore is hosting conferences and workshops to showcase advancements in robotics and autonomous technologies, encouraging collaboration among tech firms, researchers, and policymakers. This concerted effort not only aims to position Singapore as a leader in the AI field but also to address challenges such as labor shortages and the need for increased operational efficiency across sectors.
Opentrons launches Compliance Ready Software for Flex lab robots
Opentrons has announced the launch of its Compliance Ready Software, designed specifically for its Flex laboratory robots, which are now deployed in over 10,000 facilities globally. This new software enables these robots to adhere to stringent FDA regulations, enhancing their usability in regulated environments. The introduction of this software is a significant advancement for Opentrons, as it aims to streamline laboratory processes and ensure compliance with industry standards. By integrating this technology, the company seeks to expand the capabilities of its robotic systems, making them more accessible for laboratories that require adherence to strict regulatory frameworks.
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For autonomous robots, not all rules are equal
As autonomous robots increasingly assume responsibilities across various sectors, they encounter complex ethical dilemmas similar to those faced by humans, particularly in situations where rules conflict. This evolution is evident in the transition from traditional driving tasks to the operation of flying drones, highlighting the growing reliance on technology in everyday life. The advancements in artificial intelligence and robotics have prompted discussions among experts and policymakers about the implications of these technologies, especially regarding decision-making processes in critical situations. The ongoing development of autonomous systems raises questions about accountability and the ethical frameworks needed to guide their actions. As these technologies become more integrated into society, understanding how they navigate moral conflicts will be essential for ensuring safety and compliance with societal norms.
Robotics
What will it take to make AI-enabled robots safer?
Researchers from Penn Engineering, Carnegie Mellon University, and the University of Oxford have raised concerns about the inadequacy of current efforts to align artificial intelligence with human values, particularly in robotic systems. Their findings, published in the journal Science Robotics, emphasize the urgent need for more comprehensive frameworks to ensure that AI-enabled robots adhere to fundamental ethical principles. This call to action echoes the famous dictum by science fiction writer Isaac Asimov, which states, "A robot may not injure a human being." The study highlights the potential risks associated with the integration of AI in robotics and advocates for a proactive approach to safeguard human welfare.
Robotics
12 Graphs That Explain the State of AI in 2026
As major AI companies like OpenAI and Anthropic prepare for initial public offerings later this year, the landscape of artificial intelligence continues to evolve rapidly. The 2026 AI Index report from Stanford University reveals that the U.S. remains the leader in AI model development, with 50 notable models released in 2025, although China's advancements in robotics are noteworthy, having installed 295,000 industrial robots in 2024. The report highlights a staggering growth in global AI compute capacity, which has tripled annually since 2022, largely driven by Nvidia's GPUs. However, the environmental impact of AI training is concerning, with estimates indicating that training large language models can generate over 72,000 tons of carbon emissions. Despite these challenges, AI investment surged to a record $581 billion in 2025, primarily in the U.S., reflecting a growing enthusiasm for AI technologies among software engineers and researchers. Public sentiment towards AI has slightly improved, with 59% of survey respondents believing the benefits outweigh the drawbacks. However, trust in government regulation of AI remains low in the U.S., with only 31% expressing confidence. This mixed perception underscores the ongoing debate about AI's societal impact, as advancements in technology continue to outpace regulatory frameworks.
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Real‐Time Monocular 2D Occupancy Grid Mapping for Autonomous Navigation of Ground Robots
In May 2026, researchers published a significant study in the Journal of Field Robotics, focusing on advancements in robotic technology. The study, appearing in Volume 43, Issue 3, pages 1844-1860, highlights innovative methodologies for enhancing the efficiency and autonomy of field robots. Conducted by a team of experts in robotics and artificial intelligence, the research aims to address the growing demand for automation in various industries, including agriculture and disaster response. The findings reveal new algorithms that improve navigation and decision-making processes for robots operating in complex environments. This research is particularly relevant as industries increasingly seek to integrate robotic solutions to optimize operations and reduce human risk in hazardous situations. By employing advanced machine learning techniques, the team demonstrated how robots can adapt to dynamic conditions, thereby increasing their effectiveness in real-world applications. The study's implications extend beyond theoretical advancements, as it provides practical frameworks for deploying robots in challenging scenarios. As the field of robotics continues to evolve, this research contributes to the ongoing dialogue about the future of automation and its potential to revolutionize traditional practices across multiple sectors.
RESEARCH ARTICLE
From Simulation to Production: How to Build Robots With AI
NVIDIA has unveiled its latest open models and frameworks designed to enhance cloud-to-robot workflows by integrating simulation, robot learning, and embedded computing. This development, announced in October 2023, aims to streamline the processes involved in robotics, making it easier for developers to create and deploy robotic systems. By leveraging advanced simulation techniques and machine learning, NVIDIA's new offerings are expected to significantly improve the efficiency and effectiveness of robotic applications across various industries. The initiative reflects NVIDIA's commitment to advancing robotics technology and supporting the growing demand for intelligent automation solutions.
DOBOT Co-Organizes World Robot Contest (WRC) for 9 Years
Dobot Robotics, a pioneering company in embodied intelligence, is transforming the integration of industry and education. Recognized for being the first enterprise to successfully implement global educational initiatives rooted in real-world manufacturing experiences, Dobot is at the forefront of this evolution. As the demand for embodied intelligence grows, the company is leveraging its unique position to redefine how educational frameworks align with industrial needs, ensuring that the next generation of professionals is equipped with the necessary skills for a rapidly changing job market. This initiative reflects a broader trend towards enhancing practical learning experiences in educational settings, aiming to bridge the gap between theoretical knowledge and real-world application.
SAFe Has Won Enterprise Agile – What That Means for Your Career
In recent years, the landscape of enterprise agile frameworks has seen a significant shift, with the Scaled Agile Framework (SAFe) establishing itself as the leading methodology for large organizations seeking to implement agile practices at scale. This trend has been particularly evident among companies with substantial hiring needs, where SAFe's structured approach has facilitated smoother transitions to agile operations. The framework's popularity stems from its ability to address the complexities of scaling agile across various teams and departments, making it an appealing choice for enterprises aiming to enhance productivity and collaboration. As organizations continue to embrace agile methodologies, SAFe's dominance reflects a broader industry consensus on effective practices for large-scale agile transformation.
Business Computing Software agile coaching Agile leadership agile methodologyRobotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
