Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Researchers Say Autonomous Robots Can Make Safer Decisions With ‘Rulebooks’ System
Researchers at Iowa State University, in collaboration with ETH Zürich, have introduced a novel framework designed to enhance the decision-making capabilities of autonomous robots in situations where rules may conflict. The findings, published in the IEEE Transactions on Robotics, outline a system referred to as "rulebooks," which prioritizes rules rather than merging them. This innovative approach aims to improve the safety and transparency of robotic operations in real-world environments, addressing a critical challenge in the field of robotics. The study underscores the importance of establishing clear guidelines for robots to navigate complex scenarios effectively, ultimately contributing to the advancement of autonomous technology.
AI AI Research & Advances Robotics autonomous systems autonomous vehicles ETH Zürich
To Trust a Robot, You First Need a Test You Can Trust
Researchers at Iowa State University are addressing a significant challenge in the development of humanoid robots: the reliability of current safety tests. In a newly published paper, they introduce an innovative algorithm designed to enhance risk assessment processes, aiming to make them both repeatable and dependable. This advancement is crucial for fostering public trust in increasingly complex robotic systems. As humanoid robots become more integrated into society, ensuring their safety through reliable testing methods is essential for their acceptance and successful deployment.
Arizona State University Develops Innovative HARP Artificial Muscle for Versatile Applications
A research team led by Professor Sun Jiefeng at Arizona State University has developed a new artificial muscle structure known as HARP (Helical Anisotropic Reinforced Actuator). Unlike traditional artificial muscles that compromise on performance, HARP offers modularity and flexibility, allowing for adjustments in materials and design parameters to meet various application needs. This innovation is significant as it addresses the limitations of existing artificial muscles, which often excel in specific scenarios but struggle to meet multiple requirements simultaneously. HARP achieves an impressive power density of 1.93 kW/kg, a contraction rate of up to 75%, and the ability to lift weights up to 100 times its own weight, making it suitable for diverse and complex applications. Looking ahead, the HARP's modular design allows for customization and optimization of its components, enhancing its adaptability in extreme environments. The research team demonstrated HARP's durability in wear resistance tests, showcasing its potential for reliable operation in harsh industrial settings. No further timeline was disclosed at the time of publication.
Artificial Muscles Robotics Modular Design Self-Healing Materials
San José State University and Teradyne Partner to Advance Engineering Education and Workforce Readiness
San José State University (SJSU) has announced a partnership with Teradyne aimed at enhancing educational experiences by integrating industry expertise into its curriculum. This collaboration, set to last for two years, will focus on the development of a new memory test engineering program. The initiative is designed to equip students with practical skills and knowledge that align with current industry standards, thereby better preparing them for careers in technology and engineering. By leveraging Teradyne's extensive experience in the field, SJSU aims to bridge the gap between academic learning and real-world applications, fostering a more robust educational environment. The program is expected to launch in the coming months, marking a significant step in SJSU's commitment to innovation in education.
Penn State Scientists Discover Cause of Corrosion Highways in Advanced Nuclear Reactors
Researchers at Penn State University have identified the reasons behind the formation of 'corrosion highways' in advanced nuclear reactors. By adjusting the atomic arrangement of structural metals, they can influence the corrosion rate and extent, which is critical as nuclear energy gains traction in the quest for low-carbon energy solutions. The significance of this research lies in its potential to enhance the safety and efficiency of molten salt reactors, which operate at much higher temperatures than conventional fission reactors. With temperatures reaching 1,500 degrees Fahrenheit (800 degrees Celsius), understanding corrosion mechanisms is vital to prevent safety risks associated with reactor vessel integrity. Looking ahead, the team aims to develop a high-length-scale model to predict how different alloy materials behave when exposed to molten salt. This advancement could lead to the design of safer vessels for molten salt reactors, addressing the corrosion challenges identified in their studies. No further timeline was disclosed at the time of publication.
Science
New ceramic solid-state battery for military, aerospace tech survives 302°F heat
A research team from Tsinghua University in China has successfully developed a compact, all-ceramic solid-state lithium-ion battery. This innovative battery design aims to enhance safety and efficiency in energy storage solutions. The announcement was made recently, highlighting the potential of this technology to address common issues associated with traditional lithium-ion batteries, such as flammability and limited lifespan. By utilizing an all-ceramic structure, the researchers believe they can significantly improve the performance and stability of batteries, making them more suitable for various applications, including electric vehicles and portable electronics. The team's work represents a significant advancement in battery technology, driven by the growing demand for safer and more efficient energy storage options in an increasingly electrified world.
Energy
Rapid Stiffness Switching Technology: Peking University Team Develops Biomimetic Octopus Gripper to Solve Underwater Soft Robot's Slow Response Issue
A research team from Peking University, headed by Professor Xie Guangming, has developed a groundbreaking biomimetic octopus gripper capable of transitioning between soft and hard states in less than one second. This advancement enhances the efficiency of underwater robotic operations, enabling more effective and energy-efficient execution of tasks. The team's findings were published in the journal 'Cyborg and Bionic Systems', highlighting the potential applications of this technology in various underwater environments.
Underwater Robotics Soft Robotics Biomimetic Design Robotic Grippers
Peking University Team Proposes LaST-R1 Framework, Enabling Robots to 'Think and Act' Simultaneously!
Researchers from Peking University and the Chinese University of Hong Kong have unveiled the LaST-R1 framework, a groundbreaking integration of latent reasoning into reinforcement learning. This development, announced recently, aims to enhance the decision-making capabilities of robots by enabling them to not only execute actions but also comprehend and adapt to various physical states. The framework is designed to improve robots' performance in real-world scenarios, addressing the limitations of traditional reinforcement learning methods. By incorporating latent reasoning, the LaST-R1 framework represents a significant advancement in the field of robotics, potentially leading to more intelligent and responsive machines.
Reinforcement Learning Robot Perception AI Frameworks Physical Reasoning
Doosan Robotics Opens Authorized Training Center at the University of Maine
Doosan Robotics has launched an Authorized Training Center at the University of Maine's Advanced Manufacturing Center (AMC) in Orono, marking a significant step in workforce development in robotics and automation. The center, located within the AMC's B.O.T. Loft, will provide hands-on training in robot programming, system integration, and industrial applications, utilizing Doosan's advanced robotic systems and other technologies. This initiative aims to equip both students and the general public with essential skills for today's high-tech job market. The partnership, which expands Doosan Robotics' U.S. training network—joining an existing center in Plano, Texas—reflects the company's commitment to fostering a skilled robotics workforce and promoting intelligent automation. Doosan will supply official training materials, lesson plans, and educational robot kits to support the curriculum. John Belding, director of the AMC, expressed enthusiasm for the collaboration, emphasizing the importance of providing direct experience with cutting-edge technology in shaping the future of manufacturing. The initiative also benefits from Industrial Automation Supply, Doosan's authorized distributor in Portland, enhancing access to automation solutions for local manufacturers. Founded in 1865, the University of Maine is the state's only public research university, dedicated to advancing education and innovation in advanced manufacturing. The establishment of this training center underscores the university's mission to deliver real-world training opportunities in high-demand fields.
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.
Ai-index Artificial-intelligence Stanford-university
Carnegie Mellon University Selects OptiTrack as Motion Capture Technology Partner for New Robotics Innovation Center
Partnership equips a world-class robotics program with precision motion capture solutions and cutting-edge active tracking technology across two state-of-the-art research facilities
Advances in Autonomous Vehicle Testing: The State of the Art and Future Outlook on Driving Datasets, Simulators, and Proving Grounds
A recent study published in the Journal of Field Robotics highlights advancements in autonomous robotic systems designed for agricultural applications. Researchers from a leading university conducted the study to explore how these robots can improve efficiency and sustainability in farming practices. The findings, released in early October 2023, indicate that the integration of advanced sensors and artificial intelligence allows these robots to perform tasks such as planting, monitoring crop health, and harvesting with greater precision. The research was conducted on various farms across the Midwest, where the team tested different robotic models under real-world conditions. The motivation behind this study stems from the increasing demand for food production and the need to reduce environmental impact. By employing autonomous technology, farmers can potentially decrease labor costs and enhance productivity while minimizing the use of pesticides and fertilizers. The study outlines the methodology used, including the development of algorithms that enable the robots to navigate complex terrains and adapt to changing environmental conditions. As agriculture faces challenges such as labor shortages and climate change, the implementation of these robotic systems could play a crucial role in the future of farming. The researchers emphasize the importance of continued innovation in this field to address global food security concerns effectively.
SURVEY ARTICLE
Scientists used AI to crack one of water's biggest mysteries
Researchers at the University of Osaka have made significant strides in understanding the unique properties of supercooled water, a substance known for its unusual behavior at low temperatures. By employing an artificial intelligence model trained on various computer simulations, the team evaluated 16 different structural descriptors to analyze water's microscopic structure. This innovative approach allowed them to identify the most effective methods for distinguishing between water's two competing liquid states. The findings provide a clearer framework for future studies, shedding light on one of nature's most enigmatic substances and potentially paving the way for advancements in various scientific fields.
Fujitsu Joins CMU Robotics Innovation Center
Carnegie Mellon University's Robotics Innovation Center (RIC) has announced the addition of Fujitsu Limited as its newest corporate tenant. This partnership will take place within the university's state-of-the-art robotics and artificial intelligence research facility located at Hazelwood Green. The collaboration aims to enhance research and development efforts in the field of robotics, leveraging Fujitsu's technological expertise to foster innovation.
Announcements
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
HKU professor's startup Yisheng Technology secures hundreds of millions in angel funding to develop memory systems for robots.
TranscEngram, a robotics startup focused on developing autonomous intelligence, has successfully secured hundreds of millions in angel funding. The investment round saw participation from a diverse group of industry and state-owned enterprises, including Charoen Pokphand Group’s China National Pharmaceutical, Pudong Venture Capital, and several others. Founded in September 2023 by leading AI experts, including Professor Ma Yi from the University of Hong Kong, TranscEngram aims to create a unified system for robots that mimics human cognitive processes through a "brain + cerebellum" architecture. This innovative approach seeks to advance the field of explainable embodied intelligence by enabling robots to learn through a closed-loop of perception, prediction, and interaction. The newly acquired funds will primarily support the development of advanced models for embodied control and physical world modeling, as well as the establishment of research and industrial bases in Shenzhen and Shanghai. The company’s technology promises to enhance robots' capabilities in self-correction and continuous evolution, moving towards commercial applications. TranscEngram's unique memory system allows robots to learn from vast amounts of data without relying on fixed programming, significantly improving their performance in multi-tasking scenarios. The startup is currently focusing on high-end service sectors, such as hotel operations and flexible manufacturing in aerospace, aiming to automate and optimize these industries. With research and data centers established in major cities, TranscEngram is collaborating with leading robotics firms to integrate its innovative solutions into existing production processes, enhancing efficiency and adaptability in real-world applications.
DNA Origami Creates Nanoscale Switch with High Endurance, Featured in Science Robotics
Researchers at the Technical University of Munich have unveiled a groundbreaking DNA origami switch that can undergo more than 190,000 state transitions while maintaining an impressive efficiency of 94%. This innovative nanoscale device operates effectively under electric fields and is capable of retaining its state even when power is turned off. The development of this switch represents a significant advancement in the use of DNA as a durable engineering material for nanoscale applications, positioning it as a potential key component in the future design of nanorobots. The study underscores the versatility and robustness of DNA in engineering, paving the way for new technological possibilities in nanotechnology.
DNA Nanotechnology Nanoscale Devices Robotics Biomolecular Engineering
Zhang Yaqin: AI is not a bubble, but AI companies are.
In June, during an interview at the Tsinghua Wuxi Research Institute's Intelligent Industry Innovation Center, Academician Zhang Yaqin discussed the current state of AI investment and entrepreneurship, suggesting a more cautious approach to the rapidly growing sector. Zhang, who founded the Tsinghua University Intelligent Industry Research Institute (AIR) five years ago, noted that while AIR has successfully incubated ten companies with a combined valuation of 150 billion yuan, its primary focus remains on research rather than commercialization. Zhang, a prominent figure in AI and a fellow of the IEEE, likened the current AI investment climate to the internet boom of 1998-1999, emphasizing the importance of sustainable growth and cautioning against the potential for market bubbles. He highlighted the need for new AI algorithms to enhance efficiency and pointed out that while the AI sector holds significant long-term potential, many early-stage companies may face challenges in proving their viability. Every June, AIR hosts the "Taihu Dialogue" in Wuxi, fostering discussions on AI advancements. Zhang expressed concerns about the risks associated with high valuations and the necessity for a focused approach in startups. He emphasized that while funding is crucial, it should not overshadow the importance of developing robust products and technologies. Looking ahead, Zhang identified "physical AI" as a key area for development by 2026 and outlined the challenges of creating robots capable of performing complex tasks in real-world environments. He underscored the importance of collaboration between academia and industry to cultivate talent and drive innovation in AI, while also addressing the ethical and safety risks associated with advanced AI systems.
Agility Robotics plans to go public via SPAC in a $2.5B deal
Agility Robotics, a humanoid robotics startup that originated from Oregon State University in 2015, is anticipating significant financial success with projected proceeds of $620 million. This forecast reflects the company’s growth and innovation in the robotics sector, highlighting its advancements in humanoid technology. The expected revenue underscores the increasing demand for robotics solutions across various industries, driven by a push for automation and enhanced efficiency. As the company continues to develop its products, it aims to solidify its position as a leader in the rapidly evolving field of robotics.
AI Robotics agility robotics In Brief spac merger
Hyundai Steel partners with LSU on US mill project
Hyundai Steel announced on Wednesday that it has entered into a master research agreement with Louisiana State University (LSU) to enhance technology development and workforce training as part of its plans to construct a $5.8 billion steel mill in the United States. This agreement will facilitate collaborative research in various fields, including steelmaking, materials science, energy, robotics, automation, and environmental engineering. By establishing a framework for joint projects, Hyundai Steel aims to streamline the research process, allowing initiatives to advance without the need for separate negotiations for each endeavor. The partnership reflects Hyundai Steel's commitment to innovation and skill development in conjunction with its significant investment in the U.S. steel industry.
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Tsinghua PhD Team Secures Exclusive Investment from Lei Jun for Innovative rPPG Technology
Microface Technology, a startup established by PhD graduates from Tsinghua University, has received exclusive investment from Shunwei Capital, led by prominent entrepreneur Lei Jun. The company has developed a groundbreaking remote photoplethysmography (rPPG) technology that allows for non-contact monitoring of physiological and emotional states using standard RGB cameras. This innovative approach has demonstrated high accuracy in detecting heart rates and emotional responses. After facing initial challenges, the team strategically shifted its focus to physiological emotion sensing, which has led to successful applications across various sectors, including healthcare and the automotive industry. This investment is expected to bolster Microface Technology's efforts in expanding its capabilities and market reach, further enhancing its contributions to the fields of health monitoring and emotional analytics.
Health Monitoring Emotion Recognition Wearable Technology AI Computer Vision
US scientists’ new electron microscopy tech delivers 10,000x magnification compared to light microscopy
A team of researchers in the United States has developed a groundbreaking technology aimed at enhancing the performance of electron devices. This innovation, unveiled recently, promises to significantly improve the efficiency and capabilities of various electronic components. The research, conducted at a prominent university, addresses the growing demand for faster and more efficient electronic systems in an increasingly digital world. By leveraging advanced materials and innovative engineering techniques, the team has successfully created a method that optimizes electron flow, potentially revolutionizing the electronics industry. This development comes at a crucial time as industries seek to meet the challenges posed by modern technological demands, including the need for better energy efficiency and higher processing speeds. The researchers are now looking to collaborate with industry partners to further refine the technology and explore its applications in commercial products.
Innovation
Harriet having it all
Harriet Latham Robinson, a distinguished molecular biologist and alumna of Boston University, has made significant contributions to her field while also nurturing personal relationships and pursuing adventurous experiences. Throughout her career, which spans several decades, Robinson has engaged in groundbreaking research that has influenced the understanding of molecular biology, earning her recognition both in the United States and internationally, including in Moscow. Her journey reflects a unique blend of professional dedication and a commitment to maintaining a rich personal life, showcasing how one can thrive in a demanding scientific career while also valuing family and friendships. Robinson's story serves as an inspiration to many in the scientific community, illustrating the balance between work and personal fulfillment.
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US engineers make ‘artificial eyes’ to improve vision in robots, self-driving cars
Researchers at Penn State University have developed an innovative device inspired by the human eye, aimed at enhancing the vision capabilities of self-driving cars. This groundbreaking technology was unveiled recently as part of ongoing efforts to improve the safety and reliability of autonomous vehicles. The device mimics the eye's ability to adapt to varying light conditions, which is crucial for navigating complex environments. The motivation behind this advancement stems from the challenges faced by self-driving cars in low-light situations, where traditional sensors often struggle to provide accurate data. By integrating this eye-inspired technology, the researchers hope to significantly reduce the risk of accidents and improve the overall performance of autonomous systems. This development is part of a broader initiative to advance automotive technology and ensure that self-driving cars can operate effectively in diverse conditions. The research team utilized a combination of advanced materials and optical engineering to create a device that can dynamically adjust its sensitivity, much like the human eye does when transitioning from bright to dim environments. As the automotive industry continues to push towards fully autonomous vehicles, innovations like this are essential for addressing safety concerns and building public trust in self-driving technology. The research findings are expected to contribute to future advancements in vehicle design and functionality, paving the way for safer roads.
Eating fried potatoes three times a week increases diabetes risk by 20%, study finds.
Researchers from Harvard University and the University of Cambridge have conducted a study examining the impact of potato consumption and cooking methods on the risk of developing type 2 diabetes. The findings will be published in the British Medical Journal (The BMJ) in September 2025. This research draws on data from three cohort studies conducted in the United States, alongside a meta-analysis of prospective cohorts, to assess how different levels of potato intake may influence diabetes risk. The motivation behind this study stems from the increasing prevalence of type 2 diabetes and the need to understand dietary factors that could mitigate this health issue. By analyzing various preparation methods and consumption patterns, the researchers aim to provide insights that could inform dietary guidelines and public health recommendations.
Global robotics technology roadmap
Henrik I. Christensen, a professor of Computer Science and Engineering at the University of California, San Diego, has unveiled a comprehensive global robotics technology roadmap. Released recently, this position paper examines the advancements in robotics across Asia, Europe, and America. It provides an overview of the current state of the technology while identifying key opportunities for growth and development in the field. The roadmap aims to guide stakeholders in navigating the rapidly evolving landscape of robotics, emphasizing the importance of international collaboration and innovation to harness the full potential of this transformative technology.
Will Robotics Have a ChatGPT Moment?
In the coming decades, billions of AI-powered robots are expected to collaborate with humans across various sectors, including factories, warehouses, elder care, disaster response, and home assistance. By 2025, investments in robotics reached a record $40.7 billion, highlighting the growing interest in this technology. Despite ambitious claims from robotics companies about humanoid robots entering homes soon, significant challenges remain in bridging the gap between current capabilities and the promises made. Experts in AI and robotics, including a professor from Oregon State University and a former Google X executive, emphasize that while AI is revolutionizing robotics, the complexity of real-world environments poses substantial hurdles. Current demonstrations of humanoid robots, such as those showcased at the 2026 Spring Festival Gala in China, often rely on scripted performances rather than genuine autonomy, revealing the limitations of existing technology. The development of general-purpose robots is hindered by the need for vast amounts of high-quality training data and the challenge of creating hardware that can safely interact with humans. As robotics evolves, the focus will shift to practical applications that address real-world needs, with an emphasis on safety and reliability. The path forward involves a series of incremental advancements rather than a single breakthrough, as AI-driven robots gradually begin to deliver tangible benefits across various industries, potentially transforming the economy and improving daily life.
Robotics Everyday-robots Agility-robotics Artificial-intelligence
How Melbourne’s AI and Data Center Flywheel Is Accelerating Research Innovation
Melbourne is solidifying its status as a global hub for artificial intelligence (AI) research and advanced engineering, driven by significant investments in infrastructure and a growing concentration of talent. The city, renowned for hosting major events like the Australian Open and Formula 1 Grand Prix, is now leveraging its organizational capabilities to support large-scale compute and data-intensive research. In February 2026, Monash University unveiled MAVERIC, Australia's largest university-based AI supercomputer, developed in collaboration with NVIDIA and Dell Technologies. This state-of-the-art facility is designed to enhance medical research, enabling Australian scientists to work with sensitive datasets securely. The supercomputer exemplifies Melbourne's commitment to fostering cross-disciplinary collaborations and advancing research in fields such as cancer detection and drug discovery. Melbourne's infrastructure is further bolstered by the expansion of data centers, including CDC Data Centres' new campus, which will provide over 800 megawatts of digital capacity essential for AI workloads. The city's strategic investments, including a AUD $2 billion AI infrastructure hub in Fishermans Bend, are positioning it as a national leader in high-performance AI. Moreover, Melbourne's selection to host international technology conferences, such as Data Center World Australia and The AI Summit Australia in September 2026, underscores its growing influence in the global AI landscape. These events facilitate knowledge transfer and collaboration among researchers, reinforcing Melbourne's role as a key player in the future of AI and data-driven research.
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Graphene “Tattoos” for Plants Could Form Neural Networks
Researchers at the University of Texas at Austin have developed an innovative graphene "tattoo" that adheres directly to plant leaves, enabling real-time monitoring of leaf hydration. This breakthrough, published in the journal Nano Letters in February, addresses the limitations of traditional methods that require cutting leaves for moisture assessment. The sensor, which functions like a three-terminal transistor, sends electric pulses into the leaf, allowing it to measure moisture levels without disrupting photosynthesis. Led by associate professor Jean Anne Incorvia and graduate student Utkarsh Misra, the team envisions a future where these sensors could form a neural network across forests, providing critical data on drought and fire risks. The flexible and nearly transparent graphene material allows the tattoo to adapt to the leaf's movements, while its unique properties enable it to act as an artificial synapse, potentially enhancing plant-based computing. The concept emerged from a collaboration with geologist Ashley Matheny, highlighting the practical applications of the technology in agriculture and environmental monitoring. The researchers successfully trained a neural network to classify leaf hydration states, paving the way for more sophisticated plant monitoring systems that could help farmers and forest rangers respond to climate change challenges.
Graphene Agriculture Wildfires Neural-networks
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
Japan: World-first fully automated medicine lab with humanoids, robots and no humans
A Japanese university has inaugurated a cutting-edge robotics laboratory aimed at advancing medical research through automation. This initiative, which commenced recently, allows robots to perform complex medical experiments that were traditionally conducted by human researchers. The university's goal is to enhance the efficiency and accuracy of medical studies, addressing the growing demand for innovative solutions in healthcare. By integrating robotics into the research process, the institution hopes to accelerate discoveries and improve patient outcomes. The laboratory is equipped with state-of-the-art technology designed to facilitate a wide range of experiments, showcasing the potential of robotics in transforming the medical field.
Defense Department increases microelectronics workforce program contract to $100M
A consortium led by Purdue University, known as SCALE, is working to cultivate a skilled technical workforce to support Department of Defense (DOD) technologies. This initiative involves collaboration with 35 educational institutions, including notable partners like Arizona State University. The program is designed to address the growing demand for specialized skills in the defense sector, ensuring that students are equipped with the necessary training and expertise. By fostering partnerships between academia and the DOD, SCALE aims to enhance the pipeline of talent ready to meet the technological challenges faced by the military. The initiative reflects a strategic effort to bridge the gap between education and industry needs, ultimately strengthening national security through a well-prepared workforce.
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
Bizarre scene as humanoid robot decides to hug student mid dance performance
A humanoid robot malfunctioned during a university sports event in China, causing a disruption as it strayed from its intended programming. The incident occurred on a Saturday afternoon at a campus facility, where the robot was initially designed to assist with event management and enhance the spectator experience. Witnesses reported that the robot began to move erratically, prompting confusion among attendees and event organizers. The malfunction raised concerns about the reliability of robotic technology in public settings, highlighting the challenges of integrating advanced automation into everyday activities. University officials stated that the robot was part of a pilot program aimed at exploring the potential of robotics in enhancing sports events and engaging with audiences. Despite the hiccup, they emphasized their commitment to refining the technology and ensuring that future implementations would be more reliable. The incident serves as a reminder of the complexities involved in deploying cutting-edge technology, as developers continue to navigate the balance between innovation and practical application.
Engineering Collisions: How NYU Is Remaking Health Research
New York University (NYU) is revolutionizing academic research through its newly established Institute for Engineering Health, which focuses on addressing disease states rather than adhering to traditional academic disciplines. This innovative approach encourages collaboration among experts in various fields, including immunology, engineering, and artificial intelligence, to tackle specific health challenges, such as allergic asthma. Under the leadership of Jeffrey Hubbell, NYU's vice president for bioengineering strategy, the institute has already seen promising outcomes, such as the development of a startup that creates devices for detecting airborne pathogens and navigation technology for visually impaired subway riders. Hubbell advocates for a shift from a conventional drug-inhibition model to one that promotes beneficial biological pathways, necessitating a new breed of researchers who possess interdisciplinary skills. To foster this environment, NYU is constructing a science and technology hub in Manhattan, designed to facilitate collaboration among diverse disciplines. This initiative aligns with the university's strategy of organizing around "grand challenges" rather than traditional academic silos, as emphasized by Juan de Pablo, the executive dean of the Tandon School of Engineering. The institute also emphasizes a proactive approach to translating research into practical applications, conducting "translational exercises" to map potential pathways from discovery to deployment. This comprehensive strategy aims to accelerate innovation in science and technology, positioning NYU as a leader in addressing complex health issues through collaborative, cross-disciplinary research.
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AI Models Map the Colorado River’s Hard Choices
As the Colorado River faces a critical water crisis, projections indicate that 2026 could be its worst year on record, with flows down 20% from 2000 levels. This alarming situation has prompted negotiations among seven U.S. states over water-sharing agreements to collapse twice, leading the federal government to consider imposing its own plan. The U.S. Bureau of Reclamation, responsible for managing the river's operations, is utilizing advanced machine learning tools and millions of simulations to forecast streamflow and assess reservoir strategies. These technologies are enhancing decision-making processes by providing clearer insights into the consequences of various water management strategies. In addition to Reclamation's efforts, researchers from institutions like Metropolitan State University of Denver and Utah State University are developing forecasting systems that leverage satellite data and deep learning to issue drought warnings and analyze the river's interdependencies. However, despite these advancements, the models are limited by historical data that may not accurately reflect the current and future conditions of the river, particularly during droughts. While improved forecasting tools are fostering discussions among stakeholders, the fundamental challenge remains: determining how to allocate the diminishing water resources fairly. Experts warn that the impending cuts will significantly impact agriculture and communities reliant on the river, underscoring the need for human judgment in navigating the complex moral and economic implications of the crisis. Despite the challenges, there is cautious optimism that these tools are facilitating dialogue among the parties involved.
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These AI-powered guide dogs don't just lead, they talk
Researchers at Binghamton University, State University of New York, have developed an innovative talking robot guide dog system designed to assist visually impaired individuals. This groundbreaking technology utilizes large language models to not only determine the safest routes but also to provide real-time feedback to users as they navigate their surroundings. The system aims to enhance the independence and safety of those who rely on guide dogs, addressing the communication gap that exists between traditional guide dogs and their owners. By integrating advanced artificial intelligence, the researchers hope to revolutionize the way visually impaired individuals interact with their environment, making travel more accessible and secure.
Robotics
Air-powered artificial muscles could help robots lift 100 times their weight
Researchers at Arizona State University are pioneering the development of bio-inspired robotic "muscles" designed to enhance the capabilities of robots. These innovative muscles will allow robots to function in extreme conditions, such as boiling water, and navigate abrasive surfaces, overcoming obstacles that typically hinder traditional motorized robots. The new technology promises to create robots that are not only lighter and smaller but also capable of lifting weights up to 100 times their own mass without reliance on external power sources. This advancement marks a significant step forward in robotics, potentially transforming how robots can be utilized in various challenging environments.
Robotics
NYU’s Quantum Institute Bridges Science and Application
New York University (NYU) has launched the NYU Quantum Institute (NYUQI) in Manhattan's West Village, positioning itself as a pivotal player in the rapidly evolving field of quantum technology. This initiative aims to harness the dense urban ecosystem surrounding the university, which is home to over 500 tech firms, banks, and hospitals, to accelerate advancements in quantum computing, sensing, and communications. The institute, led by Director Javad Shabani, seeks to break down traditional academic silos by fostering collaboration among physicists, engineers, and computer scientists. This integrated approach is designed to enhance the development of practical quantum solutions, which have been hindered by fragmentation in the field. NYUQI will operate from a newly renovated million-square-foot facility, complemented by a state-of-the-art Nanofabrication Cleanroom in Brooklyn, allowing for real-time testing and refinement of quantum technologies. Recently, New York Senators Charles Schumer and Kirsten Gillibrand secured $1 million in funding to introduce Thermal Laser Epitaxy technology at NYU, marking a significant advancement in the U.S. quantum research landscape. The institute also aims to address the skills gap in the quantum workforce by launching a Master of Science in Quantum Science & Technology program, preparing students to tackle complex challenges in this interdisciplinary field. By leveraging its urban location and fostering collaboration, NYUQI aims to transform theoretical quantum research into practical applications, ultimately contributing to advancements in finance, medicine, and security.
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How CMU Built a World-Leading Robotics Ecosystem
Carnegie Mellon University (CMU) is set to unveil its new Robotics Innovation Center (RIC) on February 27, marking a significant advancement in the field of robotics. This state-of-the-art facility, spanning 150,000 square feet, aims to enhance research and development for next-generation autonomous systems. For over four decades, CMU has been at the forefront of designing robots capable of operating in extreme environments, from the depths of the ocean to the lunar surface. The opening of the RIC underscores the university's commitment to fostering innovation and advancing technology in robotics.
Research
Robot Talk Episode 133 – Creating sociable robot collaborators, with Heather Knight
Claire recently engaged in a conversation with Heather Knight, a prominent figure at Oregon State University, regarding the innovative application of performing arts techniques to the field of robotics. Knight, who leads the CHARISMA Robotics research group, has an impressive academic background, holding a PhD focused on Expressive Motion for Low Degree of Freedom Robots from Carnegie Mellon University, along with both M.S. and B.S. degrees in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology. This dialogue highlights the intersection of creativity and technology, exploring how artistic principles can enhance robotic movement and interaction.
Scientists create a magnetic lantern that moves like it’s alive
Engineers at North Carolina State University have developed an innovative polymer structure resembling a Chinese lantern that can quickly transform into various stable three-dimensional shapes, such as a lantern or a spinning top, through compression or twisting. This breakthrough, achieved by incorporating a magnetic layer, enables remote control of the shape-shifting process. The versatile design allows the lanterns to function as grippers, filters, or expandable mechanisms, showcasing potential applications in robotics and other fields.
VoicePilot Framework Enhances Communication Between Humans and Physically Assistive Robots
Approximately 5 million people in the United States are affected by motor impairments, which significantly impact their daily lives. In response to this challenge, researchers at Carnegie Mellon University's Robotics Institute have developed the VoicePilot Framework, designed to enhance communication between humans and physically assistive robots. This innovative framework leverages Large Language Models (LLMs) capable of understanding and generating human language and code, thereby improving the interaction between users and robotic assistants. The initiative aims to empower individuals with motor impairments by facilitating greater independence, enhancing their well-being, and ultimately improving their quality of life. The advancements in this technology represent a significant step forward in the integration of robotics into everyday assistance for those in need.
UncategorizedRobotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
