Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
74 Yuan for 3 Hours: Embodied AI Robots Begin Entering Chinese Homes for Household Chores
China has introduced a new service offering embodied AI robots for home hire, with rates starting at just 74 yuan for a three-hour period. This development has ignited discussions regarding the true value of the substantial investments made in embodied AI technologies, which amount to billions of dollars. The initiative reflects a growing trend in the integration of advanced robotics into everyday life, as consumers seek innovative solutions for various household tasks. The availability of these robots marks a significant step in the commercialization of AI, raising questions about the balance between cost and the benefits provided by such technology. As the market evolves, stakeholders are closely examining the implications of this service on both the economy and society at large.
Industry AI
AGIBOT Showcases Embodied AI Robots at VivaTech 2026 in Paris
AGIBOT unveiled its cutting-edge embodied AI robots during VivaTech 2026, held in Paris. The company conducted live demonstrations showcasing the robots' advanced interaction, locomotion, and manipulation abilities. Central to their presentation was the 'Three Intelligences in One' architecture, which underscores the evolution of humanoid robotics from experimental concepts to practical applications. AGIBOT also engaged with industry leaders to discuss the future trajectory of AI and robotics, highlighting the growing relevance of these technologies in various sectors.
Embodied AI Robotics Technology Innovation Humanoid Robotics
AGIBOT Unveils New Generation of Embodied AI Robots and Models, Accelerating Real
AGIBOT has unveiled a new generation of embodied AI robots and models designed to improve the deployment of physical AI in real-world applications. This launch, which took place recently, features advanced robotic platforms including the AGIBOT A3 humanoid robot, the D2 Max autonomous quadruped, and a body-free data collection system. These innovations are part of a broader ecosystem aimed at facilitating scalable AI development across various industries. The initiative seeks to enhance the integration of AI into human workflows, addressing the growing demand for advanced automation solutions.
Embodied AI Robotics Artificial Intelligence Automation Technology Innovation
The Path to AI Robots in the Home is Being Shaped in the Warehouse
Recent advancements in warehouse robotics are significantly propelling the development of artificial intelligence (AI) robots for home use. As companies invest in enhancing robotic technology, they are overcoming critical challenges related to safety, perception, and autonomy that have previously hindered the integration of robots into domestic environments. This acceleration in innovation is occurring against the backdrop of increasing consumer demand for smart home solutions, prompting researchers and engineers to focus on creating robots that can effectively navigate and operate within the complexities of everyday home life. By leveraging breakthroughs in machine learning and sensor technology, developers are working to ensure that these robots can perform tasks safely and efficiently, ultimately aiming to enhance the quality of life for users. The ongoing evolution in this field suggests that AI robots may soon become a common feature in households, transforming how people interact with technology in their daily routines.
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
SAP SE (SAP), Cyberwave Deploy Autonomous AI Robots in Logistics Warehouse
SAP SE and Cyberwave have successfully deployed fully autonomous, AI-powered robots in SAP's logistics warehouse located in St. Leon-Rot, Germany, as of May 11, 2026. This initiative represents a significant advancement for SAP, transitioning its Physical AI technology from research to practical application. The robots, powered by SAP’s cloud-native Logistics Management solution and the SAP Business Technology Platform, are now capable of performing various tasks including box folding, packaging, and shipping fulfillment. The deployment addresses common challenges in logistics robotics, such as unpredictable environments and diverse object shapes that often hinder traditional systems. Cyberwave's innovative platform utilizes Vision-Language-Action and Reinforcement Learning models, enabling non-expert operators to teach robots new tasks through simple demonstrations. This approach significantly reduces training time from weeks to hours and allows robots to adapt to dynamic conditions in real-time. As a result of this integration, SAP has reported increased warehouse throughput and a decrease in physically demanding tasks for human workers. The project serves as a successful reference implementation, showcasing how a robust digital infrastructure combined with adaptive AI can enhance logistics operations. Both SAP and Cyberwave are now focused on further developing these Embodied AI capabilities to support future large-scale deployments.
Nvidia Wants to Make Humanoid AI Robots Safer Around Humans
Nvidia is advancing the development of humanoid robots, emphasizing the critical need for these machines to recognize and respond to danger swiftly before they can effectively collaborate with humans. In an interview with Bloomberg's Ed Ludlow, Deepu Talla, Vice President of Robotics and Edge AI at Nvidia, discussed the innovative technologies being designed to enhance robots' situational awareness. This initiative is part of Nvidia's broader efforts to integrate artificial intelligence into robotics, aiming to create safer and more responsive machines for various applications. The conversation highlights the importance of safety in robotics as the industry moves towards more sophisticated and capable humanoid systems.
NMS:NVDA
AGIBOT Showcases Embodied AI Robots at VivaTech 2026 in Paris
AGIBOT, a leader in embodied AI and robotics, showcased its innovative humanoid robots at the 10th-anniversary celebration of VivaTech 2026 in Paris on June 23. The event, held on the iconic Champs-Élysées, allowed visitors to engage with cutting-edge technologies, including live demonstrations of AGIBOT's robotics capabilities in areas such as interaction, locomotion, and manipulation. William Shi, AGIBOT's President for Europe and the Americas, emphasized the shift in the humanoid robotics industry from experimental concepts to practical applications, highlighting the importance of platforms like VivaTech for connecting with the technology and business communities in Europe. During the event, AGIBOT's robots, including the X2 and D1 models, participated in a coordinated performance and a robot parade, captivating an audience of 2,000. Additionally, AGIBOT engaged in a bilingual panel discussion focused on the future of AI and humanoid robotics, exploring the transition from demonstration to real-world deployment. The company aims to advance its robotics technologies to create smarter and safer robotic solutions for various applications. AGIBOT's commitment to innovation is underscored by the recent milestone of producing its 10,000th robot earlier this year.
Nvidia Seeks to Make Humanoid AI Robots Safer Around Humans
Nvidia Corp. is advancing its efforts to enhance the safety of humanoid robots in human environments, emphasizing the necessity for these machines to make rapid decisions before they can be reliably integrated into workplaces. The company recognizes that as robots become more prevalent in daily life, their ability to respond quickly and accurately to unexpected situations is crucial for ensuring the safety of human co-workers. Nvidia's initiatives are part of a broader push to develop technology that not only improves the functionality of robots but also fosters trust between humans and machines. This focus on safety and decision-making capabilities is expected to play a significant role in the future deployment of humanoid robots across various sectors.
NMS:NVDA
China plans 8,500 AI robots for power grid operations with massive $1 billion push
China is significantly increasing the integration of robotics within its power grid infrastructure. This initiative, announced recently, aims to enhance efficiency and reliability in energy distribution across the nation. The move comes as part of China's broader strategy to modernize its energy sector and address growing demands for sustainable and smart energy solutions. The implementation of robotic technology is expected to streamline operations, reduce human error, and improve safety for workers in the field. By deploying advanced robotics, China seeks to optimize maintenance and monitoring processes, ensuring a more resilient power supply. This development is particularly crucial as the country strives to meet its ambitious energy goals while transitioning towards greener alternatives. The initiative is set to unfold over the coming years, with pilot projects already underway in various regions. These projects will serve as a testing ground for the effectiveness of robotics in real-world applications, ultimately shaping the future of energy management in China. As the nation invests heavily in innovation, the integration of robotics into the power grid represents a significant step towards a more automated and efficient energy landscape.
Papergames bets on emotional AI robots, virtual gaming characters could go physical
Chinese gaming company Papergames has announced its foray into the AI companion robot sector by posting several job openings related to AI robotics on various recruitment platforms. Among the positions available are roles for an AI robotics structural lead, hardware engineer, and product manager with a focus on hardware supply chains. This strategic move reflects the company's intention to enhance the emotional value of its offerings, signaling a significant shift in its business direction. The recruitment efforts indicate Papergames' commitment to developing innovative technologies that integrate artificial intelligence with robotics, aiming to create products that resonate with users on a deeper emotional level.
Up and Comers Content and entertainment Gaming Highlight News
When will AI robots become part of everyday lives?
Neuroscientist and robotics researcher Elisa Donati has emphasized the limitations of artificial intelligence robots that seem intelligent only in controlled environments. In a recent discussion, she highlighted the need for these robots to possess real-world readiness, which demands more than just advanced software capabilities. Donati argues that to function effectively outside of laboratory settings, robots must integrate various sensory inputs and adapt to unpredictable situations. This insight sheds light on the challenges facing the robotics industry as it strives to develop machines that can operate autonomously in diverse and dynamic environments.
Robotics
China's First Robot Traffic Police Team Officially Launches in Hangzhou
On May 1st, the city of Hangzhou introduced China's inaugural fully operational robot traffic police team, comprising 15 advanced AI robots. These innovative robots are designed to manage traffic flow, offer directions, and assist pedestrians, marking a significant advancement in urban traffic management. The initiative aims to alleviate the workload of human officers, thereby improving efficiency and safety on the roads. This deployment reflects Hangzhou's commitment to integrating cutting-edge technology into public services, enhancing the overall experience for both drivers and pedestrians in the bustling metropolis.
Traffic Management AI Robots Urban Mobility Smart City Technology
Robotera Raises Nearly $350M in Two Months, Claims First PMF in Embodied AI
Robotera has successfully raised nearly $350 million within a span of two months, marking a significant milestone in the development and commercialization of embodied AI robots. This funding surge comes as the company accelerates its efforts in the logistics sector, where it aims to enhance operational efficiency through advanced robotic solutions. The investment reflects growing confidence in the potential of AI-driven technologies to transform traditional industries. As Robotera moves forward, it is poised to leverage this capital to further scale its operations and bring innovative robotic applications to market, addressing the increasing demand for automation in logistics.
Industry
Beijing issues first food operating license to AI robot company EncoSmart
This week, Beijing's Haidian District granted the city's inaugural food operating license to EncoSmart for its embodied AI robots, marking a significant advancement in the integration of AI technology within the food industry. The state media outlet People’s Daily reported that this license represents a pivotal moment for the application of advanced robotics in food service. EncoSmart intends to launch a pilot program utilizing these AI robots, which are designed to enhance efficiency and innovation in food operations. This development highlights the growing trend of incorporating artificial intelligence into various sectors, aiming to improve service delivery and operational capabilities.
News Feed
Friendly social robots may help ease a child's anxiety at the doctor's office
During a recent medical appointment at the UC Davis MIND Institute, 3-year-old Cameron encountered a delightful surprise in the waiting room: friendly AI robots visiting from Japan. Cameron's mother, Caroline Nguyen, expressed their immediate affection for the robots, stating, "We both melted when we saw them. They're so adorable, and the little sounds they make—I mean, she took to them right away." The visit aimed to provide a comforting and engaging experience for young patients, showcasing the potential of social robots in healthcare settings.
Robotics
US firm unveils humanoid and robots with new ecosystem for embodied ‘intelligence’
Faraday Future, a US-based robotics company, has introduced its first-half lineup of embodied AI (EAI) robotics. The announcement was made during a recent event aimed at showcasing the company's innovative advancements in robotics technology. This unveiling marks a significant step for Faraday Future as it seeks to establish itself in the rapidly evolving robotics sector. The new EAI robotics lineup is designed to enhance automation and improve efficiency across various industries. By integrating advanced artificial intelligence capabilities, these robots are expected to perform complex tasks with greater precision and adaptability. The initiative reflects the company's commitment to pushing the boundaries of technology and addressing the growing demand for intelligent robotic solutions. This launch comes at a time when the robotics market is experiencing substantial growth, driven by increasing automation needs in sectors such as manufacturing, logistics, and healthcare. Faraday Future aims to capitalize on this trend by delivering cutting-edge robotics that can meet the diverse needs of businesses. The company plans to roll out these EAI robots in phases, with initial deployments expected in the coming months. By focusing on innovation and user-friendly designs, Faraday Future hopes to attract a wide range of clients looking to enhance their operational capabilities through robotics.
AI and Robotics
Astribot and Bodon Intelligence Forge Strategic Partnership for AI Robot Deployment
On June 10, Astribot and Bodon Intelligence revealed a strategic partnership focused on a significant order of AI robots. This collaboration is set to create a 'real-world data engine' by 2026, which aims to improve the deployment and operational efficiency of embodied intelligence. The initiative will leverage innovative data collection and model training techniques to enhance the capabilities of AI systems in practical applications.
AI Robotics Data Infrastructure Embodied Intelligence Automation Machine Learning
Is Faraday Future Intelligent Electric Inc. (FFAI) Emerging as an AI Robotics Stock to Watch in 2026?
Faraday Future Intelligent Electric Inc. (FFAI), a California-based company specializing in AI-driven mobility and robotics, has emerged as a notable penny stock under $1, according to a recent report by TheFly. The company announced its Q1 2026 results on May 14, revealing initial sales revenue from its Embodied AI robotics division, which generated $512,000, nearly matching its total revenue for all of 2025. As of April 30, 2026, FFAI shipped 68 EAI robots and aims to deliver 200 units in the first quarter and over 1,500 throughout the year. Despite a net loss from operations of $35.9 million, the company reported a significant increase in stockholders’ equity by 148% to $19.2 million. In a strategic move to bolster its AI robotics initiatives, FFAI signed a memorandum of understanding on May 8 with Boston International Business School to establish the BIBS–FF AI Robotics Institute. This partnership, announced during the Berkshire Hathaway annual shareholders meeting in Omaha, aims to enhance education and development in the fields of robotics and artificial intelligence. While the agreement is currently non-binding and pending board approval, it reflects FFAI's commitment to expanding its technological ecosystem through academic collaborations. As the company continues to scale its operations, it remains to be seen how these developments will impact its market position and investment potential in the competitive AI landscape.
Linkhou Raises USD Tens of Millions to Expand Robotics Components Production
Linkhou, a company based in Suzhou, has successfully secured hundreds of millions of yuan in a Series B+ funding round, which was led by the China Internet Investment Fund. This significant investment aims to enhance the production capabilities of the company's essential components for embodied AI robots, specifically focusing on vision modules and mobile chassis. The funding will enable Linkhou to scale its operations and meet the growing demand for advanced robotics technology.
News
UBTECH Collaborates to Enhance Global Reach of Humanoid Robots in European Retail Logistics
UBTECH has announced partnerships aimed at accelerating the deployment of humanoid robots in European retail logistics environments. This initiative is part of UBTECH's broader strategy to expand its global footprint and enhance operational efficiencies in logistics through advanced robotics technology. The significance of this collaboration lies in its potential to transform retail logistics by integrating humanoid robots, which can streamline operations, reduce labor costs, and improve service delivery. As the demand for automation in logistics grows, UBTECH's efforts may set a precedent for the adoption of robotics in various sectors across Europe. Looking ahead, industry stakeholders should monitor UBTECH's progress in deploying these humanoid robots and the impact on logistics operations. The effectiveness of these robots in real-world applications will be crucial in determining the future of robotics in retail logistics. No further timeline was disclosed at the time of publication.
AI² Robotics Secures $735 Million Funding for Wheeled Humanoid Robots Development
AI² Robotics has successfully raised approximately $735 million in a recent funding round, elevating its valuation to around $2.8 billion. The Shenzhen-based company specializes in wheeled humanoid robots, which feature a humanoid torso and five-fingered hands, offering a unique alternative to traditional bipedal systems. This funding round attracted a diverse group of investors, including government-backed entities and major corporations, highlighting the growing importance of physical AI technology in China. The strategic choice to develop wheeled robots instead of bipedal models allows AI² Robotics to focus on mechanical simplicity and durability, making their robots more cost-effective and easier to deploy in public spaces. With over 34 degrees of freedom and a custom lifting mechanism, the robots are designed for various industrial applications, including logistics, manufacturing, and retail. The company’s proprietary Alpha Brain software enhances the robots' capabilities in real-time spatial reasoning and task planning, positioning them as practical solutions in structured environments. Looking ahead, AI² Robotics aims to further penetrate industrial markets while steering clear of the consumer robotics hype. The company is actively deploying its AlphaBot 2 in practical settings, emphasizing its utility in sectors such as biotech and public service. No further timeline was disclosed at the time of publication regarding future funding or product releases.
Artificial Intelligence / Cognition China Financial Humanoids Investments News
Tesla's Optimus Robots to Support Starmind Satellite Production, Not Maintenance
Tesla's Optimus robots will not be used to repair Starmind satellites in orbit, as confirmed by recent statements from Elon Musk. Instead, these robots are intended to assist in the construction and operation of the Terafab chip manufacturing facility in Texas. The AI1 satellites, designed to disintegrate upon reentry, highlight the company's swap-and-replace strategy rather than traditional maintenance practices. This approach is significant as it reflects a broader trend in satellite management, where mass-produced satellites are replaced rather than repaired. The economics of servicing missions are prohibitive, with the cost of launching a replacement satellite being significantly lower than conducting a repair mission. This model aligns with SpaceX's operational history, where rapid replacement of satellites is more efficient than attempting to maintain them in orbit. Looking ahead, the focus will remain on the production capabilities of the Gigasat factory, which is expected to support the continuous replacement of satellites. No further timeline was disclosed at the time of publication, but the demand for rapid satellite turnover suggests a robust future for Optimus robots in terrestrial manufacturing rather than in-space servicing.
Shenzhen's Stardust Intelligence secures over 1 billion in Series B funding, valuation exceeds 10 billion.
Astribot, a Shenzhen-based AI robotics company, has successfully completed a Series B funding round, raising over 1 billion yuan within three months. The financing was backed by various investors, including established firms like Liangxi Kechuang and several returning shareholders. With a valuation surpassing 10 billion yuan, Astribot joins the ranks of Shenzhen's unicorns, previously attracting investments from major players like Tencent and Alibaba. Founded in 2022 by CEO Lai Jie, who has over 17 years of experience in AI and robotics, Astribot focuses on creating robots that can think and operate like humans. The company has developed a comprehensive self-research system integrating AI models with a unique operating system tailored for their robotic bodies. Their latest product, the T1 model, is designed for various tasks, including cooking and industrial applications, and is priced starting at 89,900 yuan. Astribot's innovative approach emphasizes a dual-system framework, allowing robots to respond quickly to immediate tasks while also planning for more complex operations. This model, known as DuoCore, enhances the robots' adaptability in real-world environments. Additionally, Astribot is the first company globally to mass-produce rope-driven AI robots, which mimic human muscle movements, offering improved performance and safety for close interactions. As the company continues to expand its product offerings, it is establishing a strong presence in sectors such as research, commercial services, and entertainment, demonstrating its capability for large-scale deliveries.
AGIRobots unveils new semi-humanoid robot "AGIRobots Worker" to enhance physical AI in manufacturing and logistics.
AGIRobots has unveiled its latest semi-humanoid robot, the "AGIRobots Worker," aimed at enhancing the use of physical AI in the manufacturing and logistics sectors. This announcement was made recently as part of the company's ongoing efforts to innovate and improve operational efficiency in these industries. The AGIRobots Worker is designed to assist in various tasks, streamlining processes and potentially reducing labor costs. By integrating advanced AI technology, the robot is expected to play a crucial role in transforming traditional workflows, making them more efficient and adaptable to modern demands. The launch reflects AGIRobots' commitment to driving technological advancements that support the evolving needs of the manufacturing and logistics landscapes.
MIT Develops SceneSmith: AI System for Creating Realistic 3D Training Environments for Robots
Researchers at MIT have developed SceneSmith, an AI-powered platform that generates realistic 3D indoor environments for robot training. This innovative system utilizes three collaborative AI agents to create detailed virtual spaces, enabling robots to practice everyday tasks safely and efficiently before real-world deployment. The significance of SceneSmith lies in its ability to reduce the costs and time associated with traditional robot training methods. By providing a virtual setting that mimics real-life environments such as kitchens and offices, robots can learn to interact with various objects without the need for extensive human supervision or physical trials. Looking ahead, SceneSmith has already generated over 1,300 virtual environments, allowing robots to practice tasks like placing fruit on plates and opening cabinets. Researchers have tested robot control programs in 100 different environments, achieving over 99 percent agreement between AI evaluations and human reviewers. No further timeline was disclosed at the time of publication.
AI and Robotics
Specialized Robots Enhance Efficiency in Solar Farm Construction and Maintenance
A rising number of robotics companies are developing specialized machines aimed at alleviating labor bottlenecks in solar farm construction and maintenance. These innovations are crucial as they address the unique challenges posed by solar farm terrains, optimizing both construction timelines and operational efficiency. The significance of these advancements lies in their potential to streamline processes and reduce reliance on manual labor, which can be both costly and time-consuming. By integrating specialized robots, companies can enhance productivity and improve safety standards on solar farms, making the sector more sustainable and economically viable. Looking ahead, the continued evolution of robotics in this field will be essential to meet the growing demand for renewable energy solutions. Stakeholders should monitor developments in robot capabilities and their impact on solar farm operations. No further timeline was disclosed at the time of publication.
Soft Graphene Muscle Enables Robots to Maintain Stability for Over 13 Hours
Researchers from Sun Yat-sen University and Tsinghua University have developed a soft robot capable of maintaining stability against disturbances for over 13 hours. This innovation utilizes an ultrathin soft muscle, known as Soft Graphene Muscle (SGM), which integrates self-sensing, electrothermal actuation, and disturbance control without the need for external sensors. The significance of this development lies in its potential to enhance the operational capabilities of soft robots in real-world environments. Traditional soft robots often struggle with stability due to their flexible structures, which can amplify disturbances. The SGM's ability to adaptively balance objects heavier than itself marks a significant advancement in soft robotics, moving closer to practical applications. Future developments to watch include the potential for further integration of sensing and control within soft materials, as well as the implications for deploying soft robots in complex environments. The research was published in eScience, highlighting the collaborative efforts of experts in biomedical engineering and integrated circuits from both universities.
Soft Robotics Adaptive Control Robotics Engineering AI Material Science
IEEE Honors Robotics Pioneer Toshio Fukuda
Toshio Fukuda has been blazing trails for most of his career. He is considered to be one of the most prolific scholars in robotics, writing more than 2,000 research papers and authoring several books on the field. He’s an influential figure thanks to his pioneering work developing biomedical robotic systems, industrial robots, micro-nano robotics, mechatronics, and AI-driven automation.Fukuda launched one of the first robotics conferences, the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). It is still popular almost 40 years later.Toshio FukudaEmployerEgypt-Japan University of Science and Technology, in Alexandria TitleProfessor and vice president of research Member gradeLife Fellow Alma matersWaseda University, in Tokyo; University of Tokyo An IEEE Life Fellow, he is a professor emeritus in the department of micro-nano systems engineering and a visiting professor at Nagoya University, in Japan, where he taught for nearly 25 years. Currently, he is a vice president of research at the Egypt-Japan University of Science and Technology, in Alexandria, Egypt.Within IEEE, Fukuda has held top volunteer positions including the organization’s highest office: He served as IEEE president in 2020, becoming the first person of Asian descent to hold the role.He’s a former program director of Japan’s Moonshot program, which by 2050 intends to develop advanced AI robots.Born in Japan, Fukuda has been recognized by the country for his contributions to science with two of its highest awards: the Medal of Honor with a purple ribbon in 2015 and the Order of the Sacred Treasure in 2022.IEEE honored him with this year’s Richard M. Emberson Award for “distinguished service advancing the technical objectives of IEEE, especially in the area of robotics.” The IEEE Board-level award is sponsored by the IEEE Technical Activities Board. Fukuda received the award on 24 April at a ceremony in New York City.As a former IEEE president who has served as a master of ceremonies at several of the organization’s major award events, Fukuda noted that he is more accustomed to bestowing awards than receiving them.“It’s very interesting to be on the receiving end,” he says.The journey into robotics researchAs a teenager, Fukuda spent his summer breaks teaching himself how to build things including transistor radios and steam engines.“It was very nice to have a hands-on hobby and make these kinds of things myself,” he says. His experimentation led him to study engineering.He earned a bachelor’s degree in engineering in 1971 from Waseda University, in Tokyo. He says one of his professors there—Ichiro Kato, regarded as the father of Japanese robotics research—was a good mentor who made a positive impact.Fukuda’s research interests were robotics and mechatronics, a field that combines robotics, electronics, computer science, and control systems.He went on to earn a master’s degree and a doctorate in science from the University of Tokyo, in 1971 and 1977. During those years, he also attended Yale, where he conducted research on advanced control theory in 1973.He reflects fondly on his time at Yale: “It was a very nice environment and a kind of free-thinking atmosphere. It motivated me to study more.”“IEEE doesn’t care who you are, what you do, what country you are from, or whether you are male or female. IEEE accepts people who have energy and passion.”While at Yale, Fukuda served as an assistant to his advisor—which led him to consider a career in academia, he says, because he enjoyed the freedom that research work afforded him.But he realized that such freedom comes with a price. University researchers are expected to raise the money that funds their work. He compares researchers to small-business owners who have to bring in money to keep their enterprise afloat.That realization led him to select robotics as his field because he intended to develop technologies useful to industry, he says.After earning his doctorate, he returned to Japan in 1977 to work as a research scientist at the government’s Mechanical Engineering Laboratory, later renamed the National Institute of Advanced Industrial Science and Technology, in Tsukuba.“There was a lot of research going on at the lab, including practical robotics and theory,” he says.He left Japan in 1979 to become a visiting research fellow at the University of Stuttgart, in Germany. During his year there, he studied systems, software problems, and related topics.He returned to Japan and was hired as an associate professor of mechanical engineering at the Tokyo University of Science. He conducted research into practical uses for robots by visiting industrial plants. He decided to develop robots that inspect industrial equipment such as those used in assembly plants, oil refineries, and power stations—places that “can be hostile environments for humans,” he says.His work drew interest from chemical, oil, and utility companies.“I got a lot of money from them for this very practical application, which funded my research,” he says, laughing.Developing popular robotic systemsFukuda grew tired of making those robots, he says, so he switched to creating ones for scientific applications. He developed many techniques, but he probably is best known for his modular, cellular robotic systems (CEBOTs), which he introduced in 1985.He has described how CEBOTs work in numerous papers published in the IEEE Xplore Digital Library.The CEBOT system is composed of a number of autonomous robotic cells that stick together like interlocking Lego plastic bricks, he says.Each cell is a fundamental modular unit that has a function. When a simple task is given, the system can analyze it and generate the structure of the cellular manipulator. The cells connect to and detach from each other through connection mechanisms and cooperate mutually, creating complex structures and configurations.“You start developing from the component-wise to the cell-wise to a small functional unit—and then you come up with clusters that make bigger systems. We can make a society of robot beings like that,” he explained in his oral history published on the Engineering and Technology History Wiki. “It’s a distributed robotic system, a self-organized robotic system, and also an evolutionary robotic system.“It’s also a fault-tolerant robot system because if something is wrong, you just remove those things and make a new one. You keep the system working. That’s a great thing.”Today CEBOTs are used for a variety of tasks such as delivering medication in hospitals, assisting with planting crops, and transporting products in distribution centers. Check out IEEE Spectrum’s Robots Guide for news from the world of robotics.In 1989 Fukuda joined Nagoya University as a professor of mechanical engineering and micro-nano systems engineering. During his 24-year career there, he was director of the university’s Center for Micro-Nano Mechatronics. He developed a long list of technologies at the university, including many for medical applications. He also conducted groundbreaking research into intelligent robotic systems and micro- and nano-robotics.Another technology he is known for is brachiation robots, which he helped develop in 1988. He calls them monkey robots because they’re based on the pendulum-like movement of monkeys swinging from tree to tree. The gravity-based locomotion enables continuous movement.Brachiation robots now are inspecting high-voltage transmission towers and bridges, searching damaged buildings for survivors, and performing maintenance on pipelines and cables.Fukuda retired from the university in 2013 and was named professor emeritus.He didn’t stay retired for long, though. He next held a teaching appointment at Meijo University, in Nagoya, until he left in 2022 to join the Egypt-Japan University.A prominent volunteerHe joined IEEE in 1980 at the encouragement of one of his research advisors, Professor Fumio Harashima, now an IEEE Life Fellow. After attending conferences and reading the organization’s publications, Fukuda says, he looked forward to becoming more involved.“I wanted to know how to organize a conference and how to edit a paper for one of its Transactions,” he says. “I wanted to know what was going on from inside the organization, not just the outside.”In 1988 he was the founding chair and organizer of IROS, in Tokyo. The conference had 330 attendees that year, and was supported by Harashima. Today it is one of the largest and most prestigious conferences on the topic, attracting more than 9,000 people annually. Out of 120,000 conferences, it was the only conference in the Nature Index database for this year, Fukuda says.In 1996 he and other members launched IEEE Transactions on Mechatronics.He was the founding president of the IEEE Nanotechnology Council, which was established in 2002. He is considered a pioneer in nanotechnology research, particularly regarding how it relates to robotics.Over the years, he has held numerous volunteer positions on IEEE editorial boards and committees.He was the 1998–1999 president of the IEEE Robotics and Automation Society, becoming the first non-U.S. member to hold the title.He was director of IEEE Division X (2001–2002 and 2017–2018), which covers intelligent systems, biological engineering, robotics, control systems, and photonic technologies. He served as the 2013–2014 director of IEEE Region 10 (Asia-Pacific).As the 2020 IEEE president, Fukuda saw the organization through the early part of the COVID-19 pandemic. Because of travel restrictions, he realized IEEE should change how it offered its in-person services, specifically educational programs. He encouraged IEEE Educational Activities to develop an online learning platform. The IEEE Learning Network started with just three courses and now offers nearly 2,000 courses, webinars, and learning materials.An award-winning memberThe Emberson Award joins a slew of other recognitions Fukuda has received from IEEE. They include several from the IEEE Robotics and Automation Society: a 2004 Pioneer Award, a 2009 Saridis Leadership Award, and the 2011 Harashima Award for Innovative Technologies. He is also a recipient of the Board-level 2010 IEEE Robotics and Automation Technical Field Award.He says he feels strongly that IEEE should be a diverse organization that is welcoming to all. As IEEE president, he led efforts to devise a diversity, equity, and inclusion program. Several policies, procedures, and bylaws were revised to give members a safe, inclusive place for discourse.“It’s important for IEEE to make everyone feel comfortable,” he says. “DEI programs are important. All people should be equal. IEEE doesn’t care who you are, what you do, what country you are from, or whether you are male or female. IEEE accepts people who have energy and passion.“It accepted me, from the Far East. That’s why I like it.”You can learn more about Fukuda and his career from the oral history conducted by the IEEE History Center.
Robotics Robots Ieee-member-news Type-ti Ieee-awards Toshio-fukuda
Mouser Electronics launches "Rise of the Robots" series on the fusion of sensing, AI, and control technologies.
Mouser Electronics has unveiled the latest installment of its technology series, "Empowering Innovation Together" (EIT), titled "Rise of the Robots." This new episode explores the advancements in robotics and their impact on various industries. The release aims to highlight the growing significance of robotics in enhancing efficiency and productivity across sectors. By showcasing innovative technologies and expert insights, Mouser seeks to inform and inspire its audience about the future of automation. The series continues to serve as a platform for discussing cutting-edge developments in technology, reinforcing Mouser's commitment to fostering innovation in the electronics industry.
Autonomous process chains in the robots-to-goods model
Locus Robotics has introduced the Locus Array, an advanced automation system designed to enhance the efficiency of increasingly autonomous warehouse operations. This innovative technology aims to streamline the Robots-to-Goods model, facilitating a more effective integration of robotic systems within supply chain processes. The announcement underscores the growing trend towards automation in logistics, driven by the need for improved productivity and accuracy in inventory management. By implementing the Locus Array, companies can expect to optimize their warehouse workflows, reduce operational costs, and respond more swiftly to market demands. This development marks a significant step forward in the evolution of automated logistics solutions.
Allgemein Automation Fördertechnik & Handling Lagerlogistik & Materialfluss Mobile Robotik
RoverTech's Zmyi Ground Robots Enhance Ukraine's Military Operations with 57 Mission Average
Ukrainian robotics firm RoverTech has developed the Zmyi, a versatile ground robot that has achieved an impressive average of 57 missions in the frontline kill zone. Weighing 800 kilograms and equipped with various configurations for tasks such as demining and combat, the Zmyi is designed to evade detection by enemy drones, making it a critical asset in Ukraine's defense strategy. The significance of the Zmyi lies in its ability to operate effectively in high-risk environments, outperforming typical uncrewed ground vehicles (UGVs) that usually complete only seven missions. This advancement reflects a broader trend in Ukraine's military technology, where UGVs are increasingly replacing traditional armored vehicles due to their lower cost and adaptability for urgent battlefield needs. Looking ahead, Ukraine's President Volodymyr Zelenskyy has ordered the procurement of 50,000 UGVs by the end of 2026, significantly increasing the military's robotic capabilities. As the conflict evolves, the integration of UGVs with aerial reconnaissance is expected to reshape frontline tactics, although no further timeline was disclosed at the time of publication.
Ground-robots Ukraine Unmanned-vehicles Ugvs Sensor-networks
AI Agents Develop Virtual Environments for Essential Robot Training Data
Robots are becoming more visible in public spaces, captivating onlookers. However, they still lack the versatility needed for tasks in kitchens or factories, primarily due to a significant data bottleneck. Similar to human learning, robots acquire skills through experience, but the process of physically training them in various environments is labor-intensive and time-consuming. This challenge highlights the need for innovative solutions to streamline robot training. By utilizing AI agents to create virtual playgrounds, developers can simulate diverse scenarios, allowing robots to learn efficiently without the constraints of physical environments. This approach could significantly reduce the time and resources required for training, ultimately accelerating the deployment of robots in practical applications. Looking ahead, the development of these virtual training environments may pave the way for more capable robots in various industries. As AI technology continues to evolve, it will be essential to monitor advancements in virtual training methodologies and their impact on robot performance and adaptability. No further timeline was disclosed at the time of publication.
Robotics
MIT and Toyota Develop SceneSmith to Enhance Robot Training with AI-Generated Environments
MIT and the Toyota Research Institute have introduced SceneSmith, a system that utilizes AI agents to create realistic 3D environments for robot training. This innovation addresses the significant challenge of generating diverse simulation content, which is crucial for teaching robots various tasks in a cost-effective manner. The SceneSmith system employs three AI agents, leveraging the advanced vision-language model GPT-5.2, to design intricate indoor scenes. These environments, featuring up to six times more objects than previous methods, allow robots to practice skills in a rich virtual playground, ultimately reducing the need for extensive real-world testing. As the research progresses, the effectiveness of these AI-generated environments will be closely monitored. The team has already demonstrated that robots can successfully navigate and perform tasks in these virtual settings, indicating a promising future for robotic training methodologies. No further timeline was disclosed at the time of publication.
Research Robotics Artificial intelligence Simulation Computer science and technology Machine learning
Path Robotics Enhances Welding Efficiency with AI and Boston Dynamics Robots
In a recent episode of The Robot Report Podcast, Andy Lonsberry, co-founder and CEO of Path Robotics, detailed the company's innovative approach to robotic welding. Based in Columbus, Ohio, Path Robotics utilizes AI to optimize the welding process by identifying torch paths and employing real-time vision guidance. This technology aims to streamline operations in manufacturing environments, addressing longstanding challenges in the industry. The significance of Path Robotics' advancements lies in their application of physical AI to enhance robotic systems. By integrating AI-driven solutions, the company is not only improving the efficiency of welding operations but also expanding the capabilities of robots in complex production settings. The deployment of Boston Dynamics' Spot robots for mobile welding applications in shipbuilding further exemplifies the potential of combining AI with robotics to tackle industry-specific challenges. Looking ahead, the focus will be on the continued integration of AI in robotic systems and the potential for further advancements in welding technology. No further timeline was disclosed at the time of publication, but the ongoing development in this area suggests a promising future for AI-enhanced manufacturing solutions.
Artificial Intelligence Assembly Cameras / Imaging / Vision Controllers Humanoids Manufacturing
Carnegie Mellon University Develops Open-Source Framework for AI Deployment in Robotics
Researchers at Carnegie Mellon University have created an open-source software framework aimed at streamlining the deployment of AI systems across various robots. This framework significantly reduces the time spent on setup, which can often take weeks or months, allowing researchers to focus on testing new behaviors more efficiently. The significance of this development lies in its potential to enhance collaboration and innovation in robotics. By eliminating the need to rebuild software for each robot, the framework facilitates easier integration of AI technologies, potentially accelerating advancements in robotic capabilities and applications. Looking ahead, the framework's adoption could lead to broader implications for the robotics field, including increased interoperability among different robotic systems. No further timeline was disclosed at the time of publication regarding additional features or updates to the framework.
Robotics
Prox Industries accelerates physical AI research with dual-arm UR3e collaborative robots using VLA and reinforcement learning.
Prox Industries has announced its collaboration with Universal Robots (UR) to enhance the development of physical AI through the utilization of UR's "Physical AI Development Support Program." The initiative will focus on accelerating research and development of physical AI by employing a dual-arm robotic configuration using two UR3e collaborative robots. This partnership aims to leverage advanced robotics technology to innovate in the field of AI, reflecting Prox Industries' commitment to advancing automation solutions.
China's next AI focus is on robotics, says Toss Securities.
China is positioning humanoid robots as a key component of its artificial intelligence growth strategy, leveraging manufacturing techniques that previously propelled its success in the smartphone and electric vehicle markets. A recent report from Toss Securities, titled "Back from Shenzhen," highlights robotics as the next significant growth driver for China's AI sector, following insights gained from a visit to the southern technology hub. The report emphasizes the increasing focus on robotics, suggesting that this sector could play a crucial role in enhancing China's technological capabilities and economic expansion.
All News
OpenAI announces entry into robotics, focusing on developing assistive robots in the short term.
OpenAI CEO Sam Altman announced via social media that the company is seeking talented full-stack hardware, operations, systems, and machine learning engineers to collaborate on developing socially beneficial robots. He emphasized that artificial intelligence should assist humans in the real world. In the short term, OpenAI aims to create robots that can help technical workers build future infrastructure, while in the long term, the company envisions a future where everyone has a personal robot capable of fulfilling various needs. Altman revealed that OpenAI's world simulation research project has rapidly evolved over the past year into OpenAI Robotics, led by Aditya Ramesh. The project is making significant strides, grounded in the deep integration and collaborative design of robotics hardware and machine learning research.
Asylon's MARIA System Enhances Aircraft Inspections for U.S. Air Force
Asylon has secured a Phase Three contract with the U.S. Air Force's Warner Robins Air Logistics Complex to deploy its Multi-modal Autonomous Robotics for Inspection of Aircraft (MARIA) system. This initiative aims to streamline aircraft inspections by integrating air and ground robotic platforms, significantly reducing the time for general visual inspections while enhancing consistency in maintenance tasks. The MARIA system combines Asylon's Guardian unmanned aircraft with the DroneDog Q-UGV, utilizing the Range autonomy software and DroneIQ command-and-control system for efficient inspection management. The significance of this deployment lies in its potential to transform aircraft maintenance operations. By automating inspections, the MARIA system not only improves inspection quality but also mitigates the risks associated with labor-intensive tasks. The integration of imagery, LiDAR data, and telemetry into a single platform allows maintenance personnel to make informed decisions quickly, thereby enhancing aircraft readiness without increasing manpower demands. This project marks a pivotal shift in how the Air Force approaches maintenance, leveraging autonomous technologies to optimize operational efficiency. Looking ahead, the success of the MARIA deployment at Warner Robins could lead to broader adoption of these technologies across military maintenance organizations. No further timeline was disclosed at the time of publication, but the ongoing collaboration between Asylon and the Air Force may pave the way for future advancements in defense sustainment operations, particularly in the realm of autonomous inspections and maintenance support.
Military
Ukraine's 123rd Territorial Defense Brigade Conducts Historic Amphibious Operation with Unmanned Systems
On July 13, 2026, Ukraine's 123rd Independent Territorial Defense Brigade executed a historic amphibious operation utilizing unmanned systems. This marked the first known joint combat mission involving an unmanned surface vessel (USV) and an unmanned ground vehicle (UGV) in a military context. The operation took place on the Kinburn Spit, an area long controlled by Russian forces, where the USV successfully delivered the UGV to the enemy coast without any human soldiers stepping onto hostile territory. The significance of this operation lies in its demonstration of a new combat paradigm where unmanned systems can effectively replace human soldiers in high-risk scenarios. The UGV, reportedly manufactured by Lviv's Roboneers, was equipped with a PKT 7.62mm machine gun and was able to engage targets after landing. The 123rd Brigade emphasized that this operation is not merely a technological novelty but represents a fundamental shift in warfare, highlighting the potential for machines to undertake dangerous missions. Looking ahead, the use of unmanned systems in military operations is expected to expand, as the Ukrainian military has already received over 1,000 various ground robot systems. The ongoing evolution from traditional amphibious assaults to unmanned operations could redefine the nature of warfare, reducing risks to human soldiers while increasing operational effectiveness.
Unmanned Systems Robotics Amphibious Operations Military Technology
Swancor Advanced Materials to Launch World's First Shape-Shifting Personal Robot at WAIC
Swancor Advanced Materials is set to unveil the Quester1, the world's first shape-shifting personal robot, at the 2026 World Artificial Intelligence Conference (WAIC) on July 17. This innovative robot can automatically switch between bipedal and quadrupedal modes without manual disassembly, showcasing a unique 'transformable cross-modal integration architecture' that enables smooth transitions. The Quester1 is designed for various environments, with its bipedal form ideal for flat surfaces and intricate tasks, while the quadrupedal mode excels in navigating stairs and rough terrain. CEO Tian Hua emphasized that this product aims to redefine personal robotics for consumer markets, marking Swancor's first foray into the consumer robotics sector. As the Quester1 prepares for its debut, it highlights the rapid development of transformable robotics in China. The WAIC will feature over 1,100 companies and more than 300 product launches, indicating a significant shift towards embodied intelligence in robotics. No further timeline was disclosed at the time of publication.
Personal Robots Shape-Shifting Technology AI Robotics Consumer Robotics
Robbyant Launches LingBot-VA 2.0, the First Embodied-Native AI Model for Robotics
Robbyant, a company under China's Ant Group, has introduced LingBot-VA 2.0, touted as the first embodied-native video-action world model specifically designed for robotics. Unlike traditional models adapted from digital content, LingBot-VA 2.0 is built from the ground up for physical-world tasks, enhancing physical accuracy and execution efficiency through its autoregressive architecture. This innovation is significant as it marks a departure from conventional robotics models that often compromise real-world performance by relying on video generation systems. Robbyant's approach allows for better prediction of how robot actions affect their environment, thus improving generalization and operational effectiveness in real-world applications. Looking ahead, Robbyant's LingBot-VA 2.0 is expected to advance the capabilities of robots in various tasks, demonstrated through its performance in complex scenarios such as preparing breakfast and unpacking deliveries. No further timeline was disclosed at the time of publication.
AI and Robotics
AGRIST partners with Microsoft to tackle global food challenges using AI harvesting robots in advanced agricultural applications.
AGRIST Corporation, based in Shintomi Town, Miyazaki Prefecture, showcased its innovative use of physical AI in smart agriculture at the Microsoft AI Co-Innovation Lab KOBE annual event. The event took place on June 10, 2026, at the Kobe Asahi Hall. AGRIST's presentation highlighted advanced examples of how artificial intelligence can enhance agricultural practices, demonstrating the company's commitment to integrating cutting-edge technology into farming. This initiative aims to improve efficiency and productivity in the agricultural sector, reflecting a broader trend towards modernization in farming techniques.
Dobot showcases humanoid and quadruped robots at "RTJ 2026" as a physical AI platform.
Dobot Japan showcased its latest products and automation solutions at the Robot Technology Japan 2026 (RTJ 2026) exhibition, held from June 11 to June 13, 2026, at the Aichi Sky Expo in Aichi Prefecture. The event focused on industrial robotics and automation, providing a platform for companies to demonstrate advancements in technology and innovation in the field. Dobot's participation aimed to highlight its commitment to enhancing automation capabilities and meeting the growing demand for efficient robotic solutions in various industries.
Robot Bank announces AI platform "RobotBank Brain" for coordinating multiple robots like humanoids and AMRs.
Robot Bank Corporation has unveiled its latest initiative, the "RobotBank Brain," which is set to be the cornerstone of its next-generation robotics business. This announcement marks a significant step forward in the company's efforts to innovate and enhance its offerings in the robotics sector. The launch took place recently, highlighting the company's commitment to advancing technology and addressing the growing demand for intelligent robotic solutions. By developing the RobotBank Brain, the company aims to integrate advanced artificial intelligence into its robotics lineup, ultimately improving efficiency and functionality. This initiative reflects Robot Bank's strategic vision to lead in the evolving landscape of robotics and automation.
AI agents enhance autonomous inspections, revamping manual approval processes for drones and ground robots by DataRobot, Chevron, and NVIDIA.
DataRobot has announced a collaboration with Chevron U.S.A. Inc., a subsidiary of Chevron Corporation, to implement agent-based AI in edge environments. This partnership aims to enhance autonomous patrol and inspection operations at Chevron facilities. By leveraging advanced AI technology, the initiative seeks to improve operational efficiency and safety in the company's infrastructure.
Denso Wave to Showcase Factory Robots and 3D Vision AI at ROBOT TECHNOLOGY JAPAN 2026
Denso Wave will participate in the upcoming "ROBOT TECHNOLOGY JAPAN 2026," scheduled to take place from June 11 to June 13, 2026, at the Aichi Sky Expo in Aichi Prefecture. This event aims to showcase advancements in robotics technology, reflecting the growing interest and innovation in the field. Denso Wave's involvement highlights its commitment to contributing to the development and promotion of robotics solutions.
Disney Research develops physical AI for entertainment, focusing on character creation rather than robots.
At the Humanoids Summit Tokyo 2026, Disney Research delivered a presentation showcasing the technological foundation that supports robotic characters in theme parks. The company aims to bring movie and animation characters to life as "living entities" in the real world, enhancing the immersive experience for visitors. This initiative reflects Disney's commitment to innovation in entertainment and its vision of integrating advanced robotics into its attractions.
FORT Robotics Enhances AI Safety with Nvidia Halos at Automate Conference
FORT Robotics has joined the Nvidia Halos for Robotics ecosystem to enhance safety for autonomous robots. The company will showcase its agentic safety application, developed using the Nvidia Halos Outside-In Safety Blueprint, at the Automate conference in Chicago. This innovative solution utilizes external infrastructure sensors and visual AI agents to provide real-time, safety-certifiable functional safety, significantly improving operational efficiency in dynamic environments. The collaboration is significant as it addresses the limitations of traditional inside-out functional safety systems, which rely solely on onboard sensors. By integrating Nvidia's IGX Thor and Holoscan Sensor Bridge, FORT's solution allows robots to operate safely alongside human workers in high-efficiency modes. This adaptability is crucial for modern warehouses and factories, where environments are constantly changing, and safety frameworks must evolve to protect workers effectively. Looking ahead, FORT's integration with Nvidia Halos is expected to provide substantial value to customers in warehousing, manufacturing, and other automated sectors. The Outside-In Safety framework aims to prevent safety incidents in mixed human-robot environments, optimizing processes like inventory replenishment and product assembly. No further timeline was disclosed at the time of publication.
Artificial Intelligence Industry ai automation Autonomous robots fort roboticsRobotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
