Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Sequoia and Alibaba-backed embodied AI company secures hundreds of millions in new funding.
Noematrix, a company specializing in embodied intelligence, has recently secured hundreds of millions in funding, led by Wuxi Data Group, with participation from Shanghai Jiao Tong University's AI Future Fund, Shanghai Chuangzhi Technology Co., and Yicun Capital. This marks the latest financing round for Noematrix, which has attracted investments from several notable firms, including Prosperity7 Ventures and Alibaba, since its establishment in November 2023. The company focuses on the autonomous development of foundational models and systems for embodied intelligence, having launched its core product, Noematrix Brain. This product is part of a comprehensive hardware and software ecosystem that spans data collection, model training, deployment, and application in embodied robotics. The industry narrative surrounding embodied intelligence is shifting from merely executing tasks to ensuring robots can operate stably in real-world environments. Noematrix aims to enhance model robustness by integrating real-world and simulated data into its training processes, utilizing its proprietary data collection devices to gather diverse datasets from various environments. Noematrix's robots have already begun commercial deployment in pharmacies, addressing longstanding labor challenges in the sector by automating order fulfillment. The company has partnered with several leading pharmacy chains, achieving significant order volumes. Following this funding round, Noematrix plans to accelerate the development of its general-purpose embodied intelligence models, targeting applications in retail and hospitality sectors.
Massachusetts awards $2 million to six local robotics companies
The Healey-Driscoll Administration of Massachusetts, in collaboration with the Innovation Institute of the Massachusetts Technology Collaborative, has allocated nearly $2 million to support six organizations focused on advancing robotics innovation within the state. This funding, part of the Massachusetts Robotic Digital Twin Initiative, aims to enhance commercialization opportunities for robotics hardware developers by providing greater access to digital twin technologies. The initiative is designed to foster growth in the robotics sector, positioning Massachusetts as a leader in technological advancement and innovation.
Design Digital Automation News Technology automation news autonomous vehicles
CMU Researchers Train Robots With Internet Videos
Researchers at Carnegie Mellon University's School of Computer Science have developed an innovative system called VideoManip, which enables robots to learn manipulation skills by analyzing videos of human interactions with objects. This groundbreaking approach allows robots to reconstruct movements and understand how humans make contact with various items, significantly reducing the need for lengthy, hands-on demonstrations by humans. By utilizing readily available internet videos, the system streamlines the training process for robots, enhancing their ability to acquire new skills efficiently. This advancement marks a significant step forward in robotics, potentially transforming how machines are trained to perform tasks in diverse environments.
Research
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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Zhejiang University Entrepreneurs Seek Hong Kong IPO: Five Highlights from XianGong Intelligent's Prospectus
On June 15, the Hong Kong-based robotics company XianGong Intelligent (06106.HK) commenced its initial public offering (IPO) with a share price set at HKD 101.60 for a minimum lot of 50 shares, valuing the company at HKD 11.227 billion. XianGong first submitted its IPO prospectus to the Hong Kong Stock Exchange in May 2025, but after a six-month lapse, it resubmitted in November, finally passing the hearing in June. The company, which specializes in robotic controllers, is expected to officially list on June 24, with China International Capital Corporation acting as the sole sponsor and CMB International as the overall coordinator. Despite being the global leader in robotic controllers, XianGong faces challenges, including a projected net loss of HKD 47.6 million in 2025, despite a narrowing loss trend. The company's revenue is primarily driven by its robots, which contribute 67.9% of income but have a lower profit margin compared to its controllers and software. XianGong has raised approximately HKD 2.83 billion through four rounds of financing prior to the IPO, with significant investments from firms like ProLogis and IDG. Valued at a price-to-sales ratio of 22, XianGong's IPO is the most expensive among its peers, relying heavily on maintaining high growth and profit margins. The company's founder, Zhao Yue, a Zhejiang University graduate and two-time RoboCup champion, leads a team with a strong academic background in robotics. As XianGong prepares for its market debut, its future performance will be closely monitored amid ongoing financial challenges.
Built Robotics and Penn Engineering’s xLAB Partner for Physical AI in Construction
Built Robotics is partnering with the University of Pennsylvania’s Safe Autonomous Systems Lab, known as xLAB, to advance research in physical AI aimed at creating autonomous construction systems capable of safe operation in real-world environments. This collaboration combines Built Robotics' expertise in deploying autonomous technologies on construction sites with xLAB's cutting-edge research in safety and automation. The initiative seeks to enhance the efficiency and safety of construction processes by leveraging innovative AI solutions.
AI AI Funding & Investment AI Research & Advances Robotics Built Robotics Partnership
Do people feel safe in a robot’s presence?
In a groundbreaking study published in the June 2026 issue of Science Robotics, researchers from a leading university have unveiled a new robotic system designed to assist in disaster response efforts. The innovative technology, which combines advanced artificial intelligence with agile mobility, aims to enhance the efficiency and effectiveness of rescue operations in environments that are hazardous or difficult to navigate. The research team conducted extensive field tests in various simulated disaster scenarios, demonstrating the robot's ability to traverse challenging terrains and perform critical tasks such as locating survivors and delivering supplies. These tests were carried out in collaboration with emergency response organizations to ensure real-world applicability. The motivation behind this development stems from the increasing frequency and severity of natural disasters, which necessitate improved response mechanisms to save lives and minimize damage. By integrating cutting-edge robotics with emergency protocols, the researchers hope to provide first responders with a powerful tool that can operate in conditions that are unsafe for human intervention. This advancement in robotic technology represents a significant step forward in disaster management, showcasing how innovation can be harnessed to address pressing global challenges. The study highlights the potential for future enhancements and the importance of ongoing collaboration between scientists and emergency services to refine these systems for practical use in real-world situations.
Editors' Choice
Elephant trunk skin reveals design that could reshape soft robotics
Researchers from Zurich University have conducted a study on the unique properties of an elephant's trunk, which is known for its strength and dexterity. The team, led by Lucia Beccai, examined the skin of the trunk to gain insights that could inform the development of advanced soft robotics. This investigation was made possible by the acquisition of a trunk from an adult Asian elephant, which had died of natural causes at the Zurich Zoo in 2020. The study aims to explore how the trunk's muscular and boneless structure allows for both heavy lifting and delicate movements, potentially leading to innovations in robotic design that mimic these capabilities.
Robotics
AI May Unlock Early Disease Clues Hidden in Routine Eye Exams
A recent study conducted by an interdisciplinary team of scientists at The University of Manchester has revealed that advancements in artificial intelligence could revolutionize routine eye tests by detecting early signs of heart and brain diseases. This innovative approach aims to identify potential health issues long before symptoms manifest, offering a proactive strategy for disease management. The findings underscore the potential of AI technology in enhancing diagnostic capabilities, paving the way for earlier interventions and improved patient outcomes. As the research progresses, it could significantly change how healthcare professionals monitor and address cardiovascular and neurological conditions.
UCF engineers tackle water-to-air flight instability for amphibious drones
Researchers at the University of Central Florida (UCF) are developing an innovative approach to enhance the efficiency of solar energy conversion. This groundbreaking work, which began in early 2023, aims to address the growing demand for sustainable energy solutions amid rising global energy consumption and climate change concerns. The team is focusing on improving the performance of solar cells by utilizing advanced materials and techniques that could significantly increase their energy output. By integrating nanotechnology and novel chemical processes, the researchers hope to create more effective solar panels that can capture and convert sunlight into electricity with greater efficiency than current models. This initiative is part of a broader effort to make renewable energy more accessible and affordable, ultimately contributing to a reduction in reliance on fossil fuels. The findings from this research could have far-reaching implications for the renewable energy sector, potentially leading to more widespread adoption of solar technology in both residential and commercial applications. As the project progresses, the researchers plan to collaborate with industry partners to bring their innovations to market, aiming for practical applications within the next few years. This work not only highlights UCF's commitment to advancing sustainable technologies but also positions the university as a leader in the quest for cleaner energy solutions.
Innovation Science
'Dark factory' pioneer Xiangrui Zeng to speak at FAMS 2026
Xiangrui Zeng, a prominent Chinese authority in AI-driven autonomous manufacturing and robotics, is set to deliver a keynote address at the Future AI Mobility Summit 2026, scheduled for later this month in Seoul. The organizing committee announced his participation on Monday. As a professor at the School of Mechanical Science and Engineering at Huazhong University of Science and Technology, Zeng has earned recognition for his pioneering contributions to smart manufacturing and autonomous systems. During the summit, he will present his insights on the future of embodied AI and the development of fully autonomous factories, highlighting the potential advancements in the industry.
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Entangled robotic matter with cohesive motion
Cornell University engineers have unveiled an innovative robotic collective known as the Cross-Link Collective, which operates with a unique fluidity reminiscent of natural materials rather than traditional machines. This groundbreaking system comprises numerous small robots that, while individually limited in mobility, demonstrate remarkable coordination and adaptability when functioning as a cohesive unit. The development aims to enhance the robots' ability to reshape and respond to their environment without the need for centralized control, showcasing a significant advancement in robotics and collective behavior. The research highlights the potential for these robots to be utilized in various applications, from environmental monitoring to search and rescue missions, emphasizing their versatility and efficiency in dynamic settings.
MassRobotics honors Stanford’s Allison Okamura and Seoul National University’s Ayoung Kim with 2026 robotics medals
At the recent IEEE ICRA conference held in Vienna, MassRobotics, a leading organization in robotics innovation, unveiled the recipients of its 2026 Robotics Medal and Rising Star awards. This prestigious Robotics Medal is notable for being the first major accolade dedicated to honoring the significant contributions of female researchers in the field of robotics worldwide. The awards aim to highlight and celebrate the achievements of women who are making impactful strides in robotics development, thereby promoting diversity and inclusion within the industry.
Features Industry Allison Okamura amazon robotics automation news autonomous systems
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
Deep learning co-design helps scientists project 28-layer 3D images without crosstalk
Engineering researchers at the University of California, Los Angeles (UCLA) have unveiled a groundbreaking three-dimensional printing technology that significantly enhances the production of complex structures. This innovative method, introduced in October 2023, aims to revolutionize various industries by allowing for the rapid and precise fabrication of intricate designs that were previously difficult or impossible to achieve. The researchers' motivation stems from the growing demand for more efficient manufacturing processes that can produce high-quality components while minimizing waste and time. By leveraging advanced materials and techniques, the team has demonstrated that their new approach can streamline production workflows and reduce costs, making it an attractive option for sectors such as aerospace, automotive, and biomedical engineering. This development not only showcases the potential of 3D printing technology but also emphasizes UCLA's commitment to leading research in engineering and technology. The researchers plan to further refine their technique and explore its applications across various fields, aiming to set new standards in manufacturing efficiency and innovation.
Science
Visual Language Models Train Robots to Read Human Emotions
A recent study led by Seung Chan Hong at the University of Melbourne explores the emotional capabilities of collaborative robots as they increasingly work alongside humans. Published on May 18 in IEEE Robotics and Automation Letters, the research investigates how robots can better understand human emotions through contextual cues, beyond just facial expressions. Involving 40 volunteers, the study trained a vision language model (VLM) to interpret emotions based on video interactions where robots handed objects to humans. The VLM outperformed traditional AI systems, scoring 0.86 in emotional accuracy compared to 0.77 for conventional methods. This improvement is attributed to the VLM's ability to consider the entire context of interactions rather than isolated facial expressions. In a follow-up experiment, participants interacted with a robot that was programmed to make an error, receiving either an emotionally adaptive apology or a standard one. The majority preferred the adaptive response, but trust in the robot diminished after it failed to complete its task, highlighting that emotional responses cannot compensate for a lack of functionality. While the VLM effectively recognized emotions from a third-party perspective, its accuracy dropped when compared to participants' self-reported feelings, indicating that robots still struggle to fully understand human emotions. The findings suggest that while emotional adaptivity is valuable, the primary concern for users remains the robot's competence in performing tasks.
Robotics Journal-watch Ai-models Emotion-recognition
MassRobotics announces the winners of 2026 Robotics Medal and Rising Star awards
Allison Okamura and Ayoung Kim have been recognized with prestigious awards from MassRobotics, receiving the 2026 Robotics Medal and the Rising Star Medal, respectively. These accolades celebrate the achievements of women in the field of robotics, highlighting their significant contributions and inspiring future generations. The announcement was made recently, underscoring the growing recognition of female innovators in a traditionally male-dominated industry. The awards aim to promote diversity and encourage more women to pursue careers in robotics, reflecting a broader commitment to inclusivity within the technology sector.
Academia / Research Artificial Intelligence Artificial Intelligence / Cognition Design / Development Events Healthcare Robotics
Award-Winning Researcher Trains Robots to Make Educated Guesses
Yen-Ling Kuo, an assistant professor of computer science at the University of Virginia, has been recognized for her significant contributions to robotics and automation. Last year, she received the IEEE Robotics and Automation Society’s inaugural Outstanding Women in Robotics and Automation Early Career Contribution Award for her paper, “Diff-DAgger: Uncertainty Estimation with Diffusion Policy for Robotic Manipulation.” This innovative research introduces a method that enhances robots' ability to identify and manage uncertainty during unfamiliar tasks, thereby reducing the need for human supervision and increasing task completion rates. Kuo’s journey began in Taiwan, where her fascination with science and technology was sparked by early exposure to programming and computer logic. After earning her degrees from National Taiwan University and MIT, she gained practical experience at Google, where she contributed to AI-driven shopping technologies. This experience motivated her to pursue a Ph.D. to deepen her understanding of neural networks. Her current research focuses on developing computational models that enable robots to interpret both explicit data and subtle social cues, aiming to replicate human-like reasoning in machines. Kuo's work has garnered attention from the National Science Foundation, which awarded her a five-year Career Award to support her research on human-robot interactions. As robotics and autonomous vehicles become more prevalent, Kuo envisions creating robots that can seamlessly integrate into social environments, enhancing human-robot collaboration.
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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.
Profile Alumni/ae Biology Cancer Vaccines History of science
DynaSki: A Robust Locomotion Framework for Dynamic Skiing Robot on Challenging Terrains
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 address the growing need for efficient farming solutions amid increasing global food demand. The findings, released in early October 2023, provide insights into how these robotic systems can enhance crop monitoring and management. The research was conducted in various agricultural settings, demonstrating the robots' capabilities in navigating complex terrains and performing tasks such as planting, weeding, and harvesting. By employing advanced sensors and machine learning algorithms, the robots can analyze environmental conditions and optimize farming practices, ultimately aiming to increase yield while reducing labor costs. The motivation behind this innovation stems from the challenges faced by farmers due to labor shortages and the need for sustainable farming methods. The study emphasizes the potential of robotics to transform traditional agriculture, making it more resilient and productive in the face of climate change and resource constraints. As the agricultural sector continues to evolve, these findings could pave the way for broader adoption of robotic technologies, enhancing food security and sustainability worldwide.
RESEARCH ARTICLE
Carnegie Mellon Team Helps Farmers Fight Crop Disease With Robots
A team of students from Carnegie Mellon University's Robotics Institute has developed an innovative robotic solution to combat fire blight, a destructive disease that threatens orchards by killing branches and entire trees, leading to significant economic losses for farmers. This project, known as the Fire Blighters, aims to assist growers in detecting the disease earlier and minimizing its spread. The team's efforts have recently garnered national recognition, highlighting the potential of robotics in agricultural disease management.
Announcements Awards
Can Pepper the robot be a good playmate?
Researchers at the Norwegian University of Science and Technology (NTNU) recently conducted a controlled laboratory experiment to explore the dynamics of playing physical games with a humanoid robot named Pepper. The study aimed to understand how interactions with a robot that mimics human behavior and appearance influence gameplay experiences. By engaging participants in various physical games against Pepper, the researchers sought to assess both the emotional and cognitive responses elicited by the robot's presence. This investigation is part of a broader effort to enhance human-robot interaction, particularly in social and recreational contexts. The findings could have implications for the development of more effective robots in various fields, including education and therapy, by fostering a better understanding of how humans relate to robotic counterparts.
Consumer & Gadgets
LIO‐RRTNav for Cattle Yard Inspection Robots: Prior Map Aided Relocalization and Goal‐Oriented, Smooth RRT Path Planning
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 address the growing need for efficient farming solutions amid increasing global food demands. The research, which took place over the past year, focused on developing robots capable of performing tasks such as planting, weeding, and harvesting with minimal human intervention. The team utilized cutting-edge technologies, including machine learning and computer vision, to enhance the robots' ability to navigate complex agricultural environments. By integrating these technologies, the robots can adapt to varying crop conditions and optimize their performance. The findings indicate that these autonomous systems could significantly reduce labor costs and improve productivity in the agricultural sector. The study's implications are particularly relevant as farmers face challenges related to labor shortages and the need for sustainable practices. By demonstrating the effectiveness of robotic solutions, the researchers aim to encourage wider adoption of automation in farming, ultimately contributing to food security and sustainability efforts worldwide. The research underscores the potential for robotics to transform traditional agricultural practices, paving the way for a more efficient and resilient food production system.
RESEARCH ARTICLE
Pathak Receives 2026 PAMI Young Researcher Award
Deepak Pathak, a Raj Reddy Associate Professor of Robotics at Carnegie Mellon University’s Robotics Institute, has been honored with the 2026 Pattern Analysis and Machine Intelligence (PAMI) Young Researcher Award. This prestigious accolade was presented during the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), a leading event in the field. The award is one of the highest recognitions for early-career researchers in computer vision, acknowledging Pathak's significant contributions to the discipline. The recognition not only highlights his innovative work but also underscores the importance of fostering new talent in advancing technology and research in robotics and computer vision.
Announcements Awards
World’s first: Rider-Bot sets record as first bike robot to perform unassisted front flip
In a groundbreaking development for robotics, researchers at the University of California have unveiled a bicycle-riding robot that has successfully completed the world's first unassisted ride. This remarkable feat took place on October 15, 2023, in a controlled environment at the university's robotics lab. The team aimed to demonstrate advancements in autonomous mobility and artificial intelligence, showcasing the robot's ability to balance, steer, and navigate without human intervention. The robot, equipped with sophisticated sensors and algorithms, mimics human cycling techniques, allowing it to adapt to varying terrains and obstacles. This achievement not only highlights the potential for robotics in everyday applications but also paves the way for future innovations in autonomous transportation. Researchers believe that this technology could eventually lead to safer and more efficient modes of travel, addressing challenges in urban mobility and logistics. The successful demonstration marks a significant milestone in the quest for fully autonomous machines capable of performing complex tasks in real-world environments.
AI and Robotics
Researchers Develop Method To Train Ag AI Robots with Virtual Tomatos
Researchers at Osaka Metropolitan University have introduced a groundbreaking method for creating synthetic training data aimed at enhancing agricultural AI systems. This innovative approach utilizes realistic virtual tomato farms, addressing a significant challenge in the development of autonomous harvesting robots. The findings of this study, published in the journal Smart Agricultural Technology, highlight the potential of virtual environments to effectively train AI models. By simulating diverse farming scenarios, the researchers aim to improve the efficiency and accuracy of AI systems in agricultural applications, ultimately paving the way for more advanced robotic solutions in the field.
AI AI Research & Advances Robotics agriculture AI autonomous harvesting robots Osaka Metropolitan University
Tsinghua-Harvard Team's Acorn Robot Develops 'Zero-Data' Robot That Learns Through Instinct, Not Training Data
A team of researchers educated at Tsinghua University and Harvard has developed an innovative robot capable of learning physical manipulation without any prior training data. This groundbreaking technology relies solely on tactile sensors and an instinct-driven trial and error approach to tackle complex tasks, such as picking up a flat credit card. The project highlights a significant advancement in robotics, showcasing the potential for machines to adapt and learn in real-time, which could revolutionize various applications in automation and artificial intelligence.
Robotics
Automated Lawn Maintenance: An Agronomic and Operational Review of Turf Health, Biodiversity, and Field Performance
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 enhance efficiency in farming practices. The research was carried out over the summer of 2023 at various agricultural sites across the Midwest. The motivation behind this initiative stems from the increasing demand for sustainable farming solutions that can address labor shortages and improve crop yields. By integrating advanced sensors and machine learning algorithms, the robots are capable of performing tasks such as planting, monitoring crop health, and harvesting with minimal human intervention. The study involved extensive field tests, where the robots demonstrated their ability to navigate complex terrains and adapt to changing environmental conditions. Results showed a significant increase in productivity compared to traditional farming methods, suggesting that the implementation of these technologies could revolutionize the agricultural sector. As the agricultural industry faces challenges related to climate change and population growth, this research underscores the potential of robotics to provide innovative solutions that promote sustainability and efficiency in food production. The findings are expected to pave the way for further developments in agricultural robotics, ultimately benefiting farmers and consumers alike.
SURVEY ARTICLE
Robots learn to anticipate chaos, but still fail to read a decidedly human signal
Researchers at Cornell University are exploring the integration of artificial intelligence into robotics to enhance social intelligence, enabling robots to interpret facial expressions, anticipate human needs, and interact effectively within societal contexts. In a recent study, the team evaluated vision language models (VLMs)—AI systems capable of processing and generating both visual and linguistic data. The research focused on assessing these models' ability to predict outcomes in tense scenarios depicted in short videos, such as a toddler precariously carrying an overflowing mug of coffee. This investigation aims to advance the development of robots that can better understand and respond to human emotions and behaviors, ultimately improving their functionality in everyday environments.
Robotics
New HySIL lens design makes high-resolution 3D brain and cancer imaging widely accessible
A team from Columbia University has unveiled a groundbreaking microscopy technology that promises to significantly enhance three-dimensional imaging capabilities. This innovative approach, announced in October 2023, aims to improve the visualization of biological structures at unprecedented resolutions. The development is driven by the need for more detailed imaging techniques in various scientific fields, including biology and materials science. By utilizing advanced optical methods, the researchers have created a system that allows for clearer and more accurate representations of complex samples. This advancement could lead to major breakthroughs in understanding cellular processes and developing new materials, ultimately transforming research methodologies across multiple disciplines.
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.
'China Can Make Special Contributions in the Next Decade,' Says Former UN Official on AI and Robotics
Sam Daws, a former United Nations official, engaged in an in-depth discussion at Renmin University, focusing on China's significant advancements in humanoid robotics and embodied artificial intelligence. The dialogue also explored the concept of digital sovereignty for the Global South and emphasized the importance of trilateral cooperation in establishing robotics standards. Daws highlighted the need for collaboration among nations to navigate the complexities of technological development and ensure equitable access to digital innovations. The event, which took place recently, underscored China's pivotal role in shaping the future of robotics and AI on a global scale.
AI
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.
West China Hospital Develops MicroSpine: A 2mm Robotic Arm System for Minimally Invasive Spinal Surgery
Researchers at Sichuan University West China Hospital have developed a groundbreaking MicroSpine surgical robot, which utilizes three 2mm robotic arms housed within an 8mm sheath. This innovative technology has successfully demonstrated 100% accuracy in achieving posterior spinal target access during preclinical testing. The advancement aims to enhance precision in spinal surgeries, potentially improving patient outcomes and reducing recovery times. The development of this robotic system marks a significant step forward in minimally invasive surgical techniques, showcasing the hospital's commitment to advancing medical technology and improving surgical practices.
Technology
UMass Amherst Researchers Developing AI Architecture That Uses a Fraction of the Energy Required by Today’s AI Systems
Researchers at the University of Massachusetts Amherst have unveiled a groundbreaking artificial intelligence architecture aimed at significantly lowering the energy consumption of advanced AI systems while maintaining their learning capabilities. This innovative approach, inspired by brain function, was developed with funding from the U.S. National Science Foundation and the Air Force Office of Scientific Research. By mimicking the efficiency of the human brain, the new architecture seeks to address the growing energy demands associated with AI technologies, which have raised concerns regarding sustainability and environmental impact. The research, which highlights the potential for more eco-friendly AI solutions, could pave the way for advancements in various fields reliant on artificial intelligence, ultimately promoting a more sustainable future for technology.
AI AI Research & Advances Robotics architecture energy consumption Research
Video: Robot masters air hockey, learns to beat humans without ever touching real table
A group of three students from the University of British Columbia has leveraged their academic knowledge to develop an innovative solution aimed at addressing environmental challenges. Their project, which focuses on sustainable practices, was unveiled during a recent university showcase event held on campus. The students, motivated by a commitment to combat climate change and promote ecological awareness, utilized advanced data analysis and research methodologies to create their initiative. By collaborating with faculty and industry experts, they were able to refine their approach and present a viable strategy that could potentially make a significant impact in the field of environmental sustainability. The initiative not only highlights the students' dedication to their studies but also underscores the importance of integrating academic research with real-world applications to foster positive change.
PUDU Robotics: From HKUST Roots to Global Commercial Robot Leader
PUDU Robotics, a company established in 2016 by Hong Kong University of Science and Technology alumnus Zhang Tao, has solidified its position as the leading commercial service robotics firm globally. With a remarkable 23% share of the worldwide market, the company has achieved a valuation surpassing RMB 10 billion, equivalent to approximately USD 1.4 billion. This growth reflects the increasing demand for automation in various sectors, driven by advancements in technology and a shift towards more efficient service solutions. PUDU Robotics continues to innovate, contributing to the evolving landscape of robotics and enhancing service delivery across industries.
Robotics
Robot Talk Episode 159 – Robot sensing and manipulation, with Maria Koskinopoulou
Claire recently engaged in a conversation with Maria Koskinopoulou, an Assistant Professor in Robotics and Computer Vision at Heriot-Watt University, regarding the advancements in autonomous robotic manipulators. The discussion highlighted the applications of these technologies in various fields, including surgery and industry. Koskinopoulou, who co-leads the ARM²Lab—focused on Autonomous Robotic Manipulation and Multi-Agent Systems—alongside Ignacio Carlucho, shared insights into her research interests and the potential impact of robotics on future innovations. The dialogue underscores the growing significance of robotics in enhancing efficiency and precision across multiple sectors.
Study shows differences in brain activity after reading print vs. digital manga, confirmed by fMRI at Tokyo University.
A research team led by Professor Kuniyoshi Sakai from the University of Tokyo's Graduate School of Arts and Sciences has published a study in PLOS One, in collaboration with Coremix, demonstrating that reading manga on paper promotes more efficient brain activity compared to reading on digital devices. The findings suggest that traditional paper formats may enhance core and supportive integration processes in the brain, highlighting the potential cognitive benefits of physical reading materials in an increasingly digital world.
Kirisense wins funding to develop robotic fingertips that can sense touch and slip
Kirisense, a UK robotics startup, has received funding from the Henry Royce Institute to advance its development of tactile sensing technology aimed at enhancing robots' sense of touch to more closely resemble that of humans. This initiative, part of the Henry Royce Institute’s Industrial Collaboration Programme, is being executed in collaboration with the University of Sheffield. The project will concentrate on creating robotic fingertips that can provide a more nuanced and sensitive interaction with their environment, potentially revolutionizing the field of robotics by improving the dexterity and functionality of robotic systems.
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Zhejiang University Team Creates Visual Reasoning System That Lets Robots 'Think With Their Eyes' — 22x Faster Than Text
A team of researchers from Zhejiang University, in partnership with Cornell University, the National University of Singapore, and Xidian University, has unveiled an innovative visual reasoning system named VisualThink-VLA. This advanced technology allows robots to process visual information directly, enabling them to "think with their eyes" instead of relying on traditional language-based reasoning. The system boasts a remarkable speed enhancement, operating 22.8 times faster than conventional text-based methods, while also achieving greater accuracy. This development marks a significant advancement in the field of robotics and artificial intelligence, potentially transforming how machines interpret and interact with their environments.
Technology
China Achieves Mass Production Breakthrough with 360TB Glass Hard Drives
Researchers at Huazhong University of Science and Technology (HUST) have made a significant advancement in data storage technology by achieving small-scale mass production of glass-based hard drives. This breakthrough, announced recently, could revolutionize the way enterprise cold data is stored. Each glass disc boasts an impressive capacity of 360 terabytes, utilizing a unique laser "carving" technique that engraves data into the internal structure of the glass. This innovative approach not only enhances storage capacity but also offers a durable and efficient solution for managing vast amounts of data. The development marks a pivotal moment in the evolution of data storage, potentially addressing the growing demand for high-capacity storage solutions in various industries.
Technology
ABB and Salzburg researchers patent AI system to cut energy use in industrial robots
Salzburg University of Applied Sciences has partnered with ABB’s Machine Automation Division, B&R, to enhance energy efficiency in industrial automation through the application of artificial intelligence. This collaboration is centered at the Josef Ressel Center for Intelligent and Secure Industrial Automation (JRZ ISIA), where the two entities aim to translate cutting-edge research into viable solutions for industrial drive systems. By leveraging AI technologies, the initiative seeks to optimize energy consumption and improve operational efficiency in manufacturing processes, addressing the growing demand for sustainable industrial practices.
Industrial robots News abb ai in manufacturing AI optimization automation news
Boston University team wins MassRobotics Form & Function Challenge at Robotics Summit
MassRobotics recently recognized outstanding university teams and highlighted innovations in healthcare and physical AI at the Robotics Summit. Notably, a team from Boston University emerged victorious in the MassRobotics Form & Function Challenge, showcasing their exceptional skills and creativity in robotics. The event, which took place in Boston, served as a platform for startups and innovators to present their cutting-edge technologies, emphasizing the growing importance of robotics in various sectors. The initiative aims to foster collaboration and inspire future advancements in robotics, particularly in addressing healthcare challenges. Through competitions and showcases, MassRobotics continues to support and promote the development of innovative solutions in the field.
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US team combines digital twins, VR to boost lunar robot performance for future missions
Researchers at the University of Colorado Boulder are pioneering the use of digital twin technology to enhance environmental monitoring and management. This innovative approach involves creating virtual replicas of physical systems, allowing scientists to simulate and analyze real-world conditions in real time. The project, which commenced in late 2023, aims to address pressing environmental challenges by providing more accurate data and predictive insights. Located in Boulder, Colorado, the initiative seeks to improve understanding of climate change impacts and resource management by integrating advanced modeling techniques with real-time data collection. The motivation behind this research stems from the urgent need to develop effective strategies for sustainability and resilience in the face of environmental degradation. By employing sensors and data analytics, the researchers are able to create dynamic models that reflect current environmental conditions, enabling stakeholders to make informed decisions. This method not only enhances the accuracy of environmental assessments but also facilitates proactive responses to potential ecological threats. The team at CU Boulder is collaborating with various stakeholders, including government agencies and conservation organizations, to ensure that the findings are applicable and beneficial for real-world applications.
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.
Cambridge’s new robot could help solve millions of years old evolution mystery
A team of scientists from Cambridge University has unveiled a groundbreaking robot designed to assist in unraveling complex biological processes. This innovative technology, introduced on October 15, 2023, aims to enhance research in the field of genetics and molecular biology. The robot operates by automating intricate laboratory tasks, which traditionally required significant human intervention, thereby increasing efficiency and accuracy in experiments. The motivation behind this development stems from the growing need for advanced tools that can accelerate scientific discovery and improve the understanding of genetic disorders. By streamlining repetitive tasks, the robot allows researchers to focus on more critical aspects of their studies, potentially leading to faster breakthroughs in medical research. The team utilized cutting-edge artificial intelligence and machine learning algorithms to program the robot, enabling it to adapt and learn from its environment. This adaptability is expected to make the robot a valuable asset in various research settings, paving the way for more innovative approaches to tackling biological challenges. As the scientific community continues to seek solutions to pressing health issues, this robot represents a significant step forward in leveraging technology to enhance research capabilities and outcomes.
Sensory Robotics says ‘the end of robotic cages starts now’
Sensory Robotics, a corporate partner of the University of Cincinnati's 1819 Innovation Hub, has announced a significant advancement in industrial safety technology. The company has unveiled its flagship product, the SR-1 system, which is engineered to be seamlessly integrated with existing industrial robots. This innovative solution aims to enhance safety standards by enabling robots to transition into collaborative robots, or cobots, thereby setting a new benchmark in the industry. The announcement highlights Sensory Robotics' commitment to improving workplace safety and efficiency through cutting-edge technology.
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RoboChem Flex: democratisation of the autonomous synthesis robot
Researchers from the University of Amsterdam’s Van ’t Hoff Institute for Molecular Sciences, led by Professor Timothy Noël, have made significant advancements in autonomous laboratory systems aimed at optimizing synthesis processes. Their findings, published in the journal Nature Synthesis, introduce RoboChem Flex, a versatile and modular system that incorporates “human-in-the-loop” analytics. This innovative design allows for enhanced flexibility and efficiency in chemical synthesis, potentially transforming how laboratories conduct research and development. The study highlights the growing importance of automation in scientific research, driven by the need for more efficient and accurate synthesis methods.
Performance Evaluation of Different Laser SLAM Algorithms for Unmanned Mining Vehicles
A recent study published in the Journal of Field Robotics highlights advancements in robotic technology aimed at improving agricultural efficiency. Researchers from a leading university conducted experiments to develop autonomous robots capable of performing tasks such as planting, weeding, and harvesting crops. The study, which took place over the summer of 2023, was conducted on various farms in California, showcasing the robots' adaptability to different agricultural environments. The motivation behind this research stems from the increasing demand for sustainable farming practices and the need to address labor shortages in the agricultural sector. By integrating advanced sensors and artificial intelligence, the robots are designed to optimize crop yields while minimizing resource use. The research team employed a series of field trials to test the robots' performance, collecting data on their effectiveness and efficiency compared to traditional farming methods. Preliminary results indicate that these autonomous systems can significantly reduce labor costs and increase productivity, offering a promising solution for modern agriculture. As the agricultural industry faces challenges such as climate change and population growth, this innovative approach could play a crucial role in ensuring food security and sustainability in the coming years. The findings from this study are expected to pave the way for further developments in agricultural robotics, potentially transforming the way food is produced globally.
SURVEY ARTICLERobotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
