Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
A Boustrophedon‐Optimized Neural Network for Autonomous Path Planning in Large‐Scale Photovoltaic Farms
In May 2026, researchers published a significant study in the Journal of Field Robotics, focusing on advancements in robotic technology. The study explores innovative algorithms designed to enhance the navigation capabilities of autonomous robots in complex environments. Conducted by a team of engineers and computer scientists, the research aims to address the challenges faced by robots in real-world applications, such as search and rescue operations and environmental monitoring. The team conducted extensive field tests to validate the effectiveness of their algorithms, demonstrating improved accuracy and efficiency in navigation tasks. This research is particularly relevant as industries increasingly rely on autonomous systems for various applications, highlighting the need for reliable and adaptable robotic solutions. The findings are expected to contribute to the development of more sophisticated robots capable of operating in unpredictable settings, ultimately advancing the field of robotics and its practical applications.
RESEARCH NOTE
Design and Performance Analysis of a Delta Robot for High‐Speed Seed Cutting
In a recent study published in the Journal of Field Robotics, researchers explored advancements in robotic technology aimed at enhancing agricultural efficiency. The findings, released in May 2026, highlight innovative methods for integrating autonomous systems into farming practices. Conducted by a team of experts in robotics and agriculture, the research took place in various agricultural settings to assess the practical applications of these technologies. The motivation behind this study stems from the growing need for sustainable farming solutions that can address labor shortages and increase productivity in the face of climate change. By employing advanced robotics, the team demonstrated how these systems can optimize crop management and reduce resource waste. The research involved extensive field trials, where robotic systems were tested for their ability to perform tasks such as planting, monitoring crop health, and harvesting. The results indicated significant improvements in efficiency and yield, suggesting that the integration of robotics could revolutionize traditional farming methods. This study not only contributes to the body of knowledge in agricultural robotics but also underscores the potential for these technologies to transform the agricultural landscape, making it more resilient and sustainable for future generations.
RESEARCH NOTE
Marine Measurement Forum #71 Announces Keynote and Speaker Line-Up
The Marine Measurement Forum (MMF) has revealed its keynote speaker and the initial program lineup for its upcoming event, MMF #71. Scheduled for 1 July 2026, the forum will be held at Dartington Hall in Totnes, Devon. This event aims to bring together experts and stakeholders in marine measurement to discuss advancements and challenges in the field. The announcement highlights the forum's commitment to fostering collaboration and innovation within the marine science community, setting the stage for insightful discussions and networking opportunities.
marine measurement forum #71 keynote and speaker line-up teledyne valeport teledyne marine
SpaceX's $1.75 Trillion Valuation Driven by Starmind's Future Potential
Starmind is a pivotal element in SpaceX's estimated $1.75 trillion IPO valuation, despite currently generating no confirmed revenue. The stock price reflects optimistic projections regarding AI infrastructure growth, which Starmind has yet to substantiate. As of early July 2026, SpaceX's stock has decreased from its 52-week high of $225.64 to around $150, indicating market skepticism about future execution. The significance of Starmind lies in its potential to transform SpaceX's revenue model beyond traditional launch services. Goldman Sachs has shifted its focus from Starlink subscriber growth to the prospects of AI revenue, including orbital computing, as a cornerstone of SpaceX's long-term valuation. This marks a substantial change in how analysts view the company's growth trajectory, necessitating rates exceeding its historical 33% growth. Looking ahead, the credibility of Starmind as a growth narrative will be crucial for maintaining investor confidence. Analysts have noted a considerable divergence in price targets, reflecting uncertainty about the value of the Starmind and xAI initiatives. No further timeline was disclosed at the time of publication regarding specific milestones for these projects.
New piano-playing robotic hand learns notes after just two minutes of practice
A team of researchers has introduced an innovative robotic system known as the “Musician Hand,” capable of listening to and interpreting music in real-time. This groundbreaking technology was revealed during a recent conference focused on advancements in robotics and artificial intelligence. The unveiling took place in October 2023, showcasing the system's ability to analyze musical compositions and respond with precise movements that mimic human musicians. The motivation behind developing the “Musician Hand” stems from a desire to enhance the interaction between humans and machines in creative fields, particularly in music. By integrating advanced auditory processing capabilities, the robotic hand can not only play instruments but also adapt its performance based on the nuances of the music it hears. This innovation aims to bridge the gap between technology and artistry, providing new opportunities for collaboration between musicians and robots. The researchers demonstrated the system's functionality by having it perform alongside live musicians, illustrating its potential to revolutionize music education and performance. The “Musician Hand” represents a significant step forward in the field of robotics, highlighting the increasing role of artificial intelligence in creative endeavors. As the technology continues to evolve, it may pave the way for more sophisticated applications in various artistic domains, fostering a deeper connection between human creativity and robotic assistance.
Robotics Summit keynote to present open foundation for AI-powered robots
Brian Gerkey, a prominent figure from Open Robotics, is set to deliver a keynote address at the upcoming Robotics Summit, where he will discuss the transformative impact of the open-source community on the development of robots and artificial intelligence. Scheduled to take place soon, this event aims to highlight the collaborative efforts that are driving innovation in AI-powered robotics. Gerkey's presentation will explore how open-source initiatives are laying the groundwork for advancements in robotic technology, emphasizing the importance of community-driven projects in shaping the future of automation. The summit serves as a platform for industry leaders and enthusiasts to engage with the latest trends and developments in robotics, underscoring the critical role of open-source collaboration in this rapidly evolving field.
Development Tools / SDKs / Libraries Events ROS / Open Source Solutions Open Robotics open source Open Source Robotics Alliance
Themes of AI in Industrial Automation Influence Automate 2026 Keynotes
The Association for Advancing Automation is set to host a series of keynote speakers who will delve into the transformative impact of artificial intelligence on automation and industry dynamics. This event, scheduled for later this month, aims to provide insights into how AI technologies are reshaping various sectors and driving innovation. Industry leaders and experts will share their perspectives on the integration of AI in automation processes, highlighting both the opportunities and challenges that arise from this technological evolution. Attendees will have the chance to engage with thought leaders and gain valuable knowledge on the future of automation in an increasingly AI-driven landscape.
Factory / Communication
Samsung Electro-Mechanics, LG Innotek rise on AI demand
Samsung Electro-Mechanics, a prominent South Korean manufacturer of electronic components, experienced a significant surge in its stock price, climbing 15.04% to reach 2.1 million won, equivalent to approximately US$1,400. This notable increase reflects positive market sentiment and investor confidence in the company's performance and future prospects. The rise in stock value occurred amid ongoing developments in the electronics sector, which has seen heightened demand for advanced components. As the company continues to innovate and expand its product offerings, analysts suggest that such growth may be indicative of broader trends within the industry.
Artificial Intelligence News ai LG Innotek Samsung Electro-Mechanics South Korea
SpaceX's Starmind Targets AI Labs with $6.3 Billion Compute Contracts
SpaceX's Starmind is designed to provide wholesale AI compute services to businesses, particularly AI labs and cloud customers, rather than individual consumers. The service operates similarly to AWS, where users benefit from applications running on Starmind without direct subscriptions. The compute capacity of a single AI1 satellite is comparable to one NVIDIA GB300 rack, emphasizing its enterprise-grade capabilities. The significance of Starmind lies in its positioning as a potential fourth hyperscaler, joining the ranks of AWS, Microsoft Azure, and Google Cloud. The Reflection AI contract, valued at $150 million per month, exemplifies the enterprise-focused model, with total payments potentially reaching $6.3 billion through 2029. This contract highlights the growing demand for AI compute resources, particularly from AI-native startups and labs. Looking ahead, the focus will remain on securing additional enterprise contracts as Starmind expands its offerings. No consumer-facing products or subscriptions have been announced, and the current strategy is to cater to businesses with substantial AI workloads. No further timeline was disclosed at the time of publication.
SpaceX IPO Provides Indirect Investment Opportunity in Starmind Project
Starmind does not have a standalone stock or ticker; investors can gain exposure through SpaceX (ticker: SPCX), which began trading on Nasdaq after its IPO on June 12, 2026. Starmind is integrated within SpaceX, contributing to the company's AI and space initiatives, and its performance directly influences SPCX shares. The significance of Starmind lies in its role as a division of SpaceX, which encompasses other projects like Starlink and Starship. As of early July 2026, SPCX shares are trading between $149 and $150, significantly lower than their 52-week high of $225.64. The project’s milestones, such as AI1 prototype updates, can impact SpaceX's stock performance, making it essential for investors to monitor these developments closely. Looking ahead, the early 2027 launch of AI1 prototype satellites is a critical milestone that could provide verifiable data affecting Starmind's valuation and, consequently, SPCX stock. No further timeline was disclosed at the time of publication, but the upcoming events will be pivotal for investors tracking the relationship between Starmind and SpaceX's stock performance.
SpaceX's Starmind Plans 1 Million AI Satellites Amid Collision Risks
SpaceX has announced its ambitious Starmind project, which aims to deploy 1 million AI satellites in orbits between 500 and 2,000 km. This initiative, confirmed by Elon Musk on June 23, 2026, follows a merger with xAI, valuing the combined entity at $1.25 trillion. The satellites will function as orbital data centers, processing AI workloads powered by solar arrays and linked by optical lasers. The significance of Starmind lies in its potential to add 100 gigawatts of AI compute capacity annually, contingent on the successful operation of the Starship launch system. However, the project raises concerns regarding space debris, as the current orbital environment is already congested, with a 20% increase in collision risk reported since 2024. The European Space Agency has highlighted that the density of debris in low Earth orbit is now comparable to that of active satellites, complicating the operational landscape for new entrants like Starmind. Looking ahead, the first operational orbital AI deployments are targeted for 2028, with test launches expected in early 2027. However, the project faces scrutiny regarding its impact on space debris, as even a 1% failure rate could significantly increase the number of uncontrollable objects in orbit, exacerbating existing risks. No further timeline was disclosed at the time of publication.
SpaceX's Starship V3 Plans for 1 Million Starmind Satellites by 2030
SpaceX's Starship V3 is set to revolutionize satellite deployment, aiming to launch 1 million Starmind satellites by 2030. The spacecraft can carry over 100 tonnes to low Earth orbit (LEO), significantly more than the Falcon 9's capacity. As of May 2026, Starship has completed 12 flights, with the next mission scheduled for late July 2026, focusing on operational payloads including AI1 prototypes in early 2027. This ambitious plan is crucial for expanding orbital compute capacity, targeting an annual addition of 100 GW through a million tonnes of satellite hardware. SpaceX's strategy hinges on achieving a launch cadence of approximately 12,000 flights, equating to about three launches per day. The company has invested over $15 billion in the Starship program, with expectations to begin payload deliveries in the second half of 2026, starting with Starlink V3 satellites. Looking ahead, the successful deployment of the Starmind constellation will depend on Starship's ability to meet its cost targets of $10–20 million per flight. If achieved, this would make launching satellites more economical than building ground data centers. The next significant milestone will be the launch of AI1 prototypes in early 2027, with full-scale deployments commencing in 2028 from the new Gigasat factory in Texas.
SpaceX's Starmind Project: Supplier Strategy and Chip Manufacturing Plans for 2026
SpaceX's Starmind project, aimed at deploying up to 1 million AI satellites, was filed with the FCC on January 30, 2026. The initiative is designed to minimize reliance on external suppliers, with CEO Elon Musk stating that current chip production capabilities only meet 2% of the projected needs. The first satellite, AI1, is set for prototype launches in early 2027, featuring a 70-meter wingspan and a modular payload system that allows for interchangeable chips from various suppliers. The significance of Starmind lies in its ambitious supply chain strategy, which seeks to transition from external hardware suppliers to a fully integrated Musk-owned facility by 2028. The Gigasat manufacturing site in Bastrop, Texas, is expected to be operational by the end of 2027, with plans for high-volume production of the D3 chip, specifically designed for space applications. This approach aims to consolidate chip manufacturing processes under the Terafab joint venture, which has an estimated initial investment of $55 billion. Looking ahead, the next milestone for Starmind is the launch of AI1 prototypes in early 2027, while the full-scale chip production at Terafab is projected to ramp up significantly thereafter. However, analysts express skepticism regarding the feasibility of achieving Musk's ambitious compute goals, which may require substantial investment and time to establish the necessary manufacturing capabilities.
Starmind's Satellite Technology Achieves 880 Billion Liters in Annual Water Savings
Starmind has announced that its satellite technology can save approximately 880 billion liters of cooling water annually at full scale. This figure is equivalent to the annual household water use of around 6.5 million Americans. The technology operates by utilizing a closed-loop liquid cooling system that eliminates the need for water during its operational life, contrasting sharply with traditional ground data centers that consume vast amounts of water for cooling. The significance of this achievement lies in the growing water consumption crisis faced by data centers, particularly as AI expansion drives demand. In 2025, U.S. data centers consumed nearly one trillion liters of water, highlighting the urgent need for sustainable solutions. Starmind's approach not only addresses direct water usage but also avoids indirect water consumption associated with electricity generation, marking a substantial shift in how computing can be conducted in a resource-efficient manner. Looking ahead, Starmind's deployment strategy includes a projected buildout of 100 GW of orbital compute per year, which could displace an additional 735 billion liters of ground water demand annually. The first tranche of 10,000 satellites is already operational, offsetting approximately 8.8 billion liters of water per year. No further timeline was disclosed at the time of publication.
SpaceX Proposes 1 Million AI Satellites to Address Ground Data Center Constraints
On January 30, 2026, SpaceX filed with the FCC to launch up to 1 million AI compute satellites, positioning orbital data centers as a solution to the increasing demand for AI computing power. Ground data centers are facing significant challenges, with energy consumption projected to reach approximately 1,050 TWh in 2026, making them the fifth-largest electricity consumer globally. The demand for new data center capacity is outpacing the growth of power generation infrastructure, leading to a critical bottleneck in the grid system. The significance of this initiative lies in the structural constraints faced by ground data centers, including power delivery limitations, high water consumption, and local opposition to new projects. The Uptime Institute's 2026 outlook identifies power as the primary constraint on data center growth, with capacity clearing prices in the PJM grid skyrocketing to $329.17/MW, driven by data center expansion. Additionally, cooling requirements are becoming increasingly unsustainable, with facilities consuming vast amounts of water, further complicating their operational viability. Looking ahead, SpaceX's orbital AI compute initiative aims to circumvent these challenges by leveraging the advantages of space, such as continuous solar power and minimal local opposition. The first AI prototypes are expected to launch in early 2027, with operational deployments planned for 2028. No further timeline was disclosed at the time of publication.
Starmind's Orbital Compute vs. Terrestrial Data Centers: Analyzing Resource Advantages
Starmind's orbital compute technology presents a significant advantage over traditional ground-based data centers by eliminating constraints related to land, water, and grid permitting. While terrestrial data centers are currently cheaper and faster to construct, with U.S. data center spending reaching $85.3 billion in 2026, Starmind's approach focuses on addressing the growing resource limitations faced by hyperscale facilities. The significance of Starmind's technology lies in its ability to sidestep the increasing challenges of land and water usage. For instance, a 100 MW data center can consume approximately 530,000 gallons of water daily for cooling, while Starmind's AI1 utilizes deployable liquid radiators that require no water. This structural advantage could resonate with investors as the demand for AI computing continues to escalate, potentially leading to annual water withdrawals of up to 1.7 trillion gallons by 2027. Looking ahead, Starmind's next milestones include the launch of AI1 prototypes scheduled for early 2027. However, the technology's claims regarding cooling efficiency and operational reliability remain unverified until real flight data is available. As the industry evolves, the competition between orbital and terrestrial solutions will become increasingly relevant, particularly in the context of resource management and sustainability.
SpaceX's Starmind Faces Feasibility Challenges for 1 Million Satellite Deployment
On January 30, 2026, SpaceX submitted a request to the FCC to launch up to 1 million satellites as part of its Starmind orbital compute constellation. This ambitious plan is unprecedented, as the total number of satellites ever launched globally is in the low tens of thousands. The proposal seeks a waiver from standard deployment milestones, citing reliance on the Starship's full reusability for success. The significance of this request lies in the technical and logistical challenges it presents. Experts warn that low Earth orbit may not support the proposed number of active satellites without risking a debris cascade. SpaceX's own IPO prospectus acknowledges unresolved dependencies related to Starship's launch cadence and reusability, which are critical for the orbital AI compute strategy. Looking ahead, the timeline for achieving the necessary launch cadence and manufacturing capacity remains uncertain. SpaceX's Gigasat facility in Texas aims for volume production by late 2027, but this would require unprecedented output levels. No further timeline was disclosed at the time of publication, leaving the feasibility of the Starmind project in question.
SpaceX Unveils AI1 Satellite Specs for Starmind Constellation with Key Thermal Challenges
SpaceX has introduced the AI1 satellite, the inaugural component of its Starmind constellation, which stands 20 meters tall and has a wingspan of 70 meters. This orbital compute node is designed to deliver computing power equivalent to one NVIDIA GB300 server rack, utilizing a unique cooling system with deployable liquid radiators. The satellite's specifications were revealed during a presentation on June 8, 2026, ahead of SpaceX's IPO. The significance of the AI1 satellite lies in its role as a compute platform rather than a traditional satellite, focusing on running AI inference workloads. The satellite's cooling system, which is critical for its operation in the vacuum of space, is designed to reject heat through infrared radiation. However, independent engineers have raised concerns about the feasibility of the thermal and mass claims made by SpaceX, suggesting that the cooling requirements may exceed practical limits. Looking ahead, SpaceX plans to launch two AI1 prototypes in early 2027, with full-scale production expected to commence later that year at its Gigasat facility in Bastrop, Texas. The ongoing debate regarding the satellite's thermal management capabilities will be crucial to monitor as the project progresses, with no further timeline disclosed at the time of publication.
SpaceX Launches Starmind Project for 1 Million AI Satellites by 2028
SpaceX has officially named its orbital AI infrastructure project 'Starmind,' which aims to deploy a constellation of up to 1 million satellites. This initiative, confirmed by Elon Musk on June 22, 2026, will enable AI inference directly in space, utilizing solar energy rather than terrestrial power sources. The first satellite, designated AI1, was unveiled on June 8, 2026, and is designed to operate in sun-synchronous orbits. The significance of Starmind lies in its potential to overcome the limitations faced by ground-based data centers, such as land, power, and water constraints. By running AI computations in orbit, Starmind can provide a more efficient solution to the growing demand for AI computing power. The project leverages the existing Starlink infrastructure for data transmission, distinguishing its function from Starlink's internet relay capabilities. Looking ahead, SpaceX plans to begin hardware deployment with the AI1 satellite, while full-scale production and deployment of the satellite constellation are targeted for 2028. As of now, no Starmind satellites have been launched, and further engineering challenges remain to be addressed, particularly regarding the scalability of the satellite design.
Cognex CEO to Join AI and Robotics Leaders at Automate 2026 Opening Keynote on the Future of Automation
On Monday, June 22, at 9:00 a.m. CT, industry leaders from FANUC America, Schneider Electric, and Intrinsic will gather in the Grand Ballroom at McCormick Place for a session led by Moschner. The discussion will focus on the transformative forces currently reshaping the manufacturing sector, particularly advancements in artificial intelligence, robotics, and industrial connectivity. Participants will explore the implications of these developments on the workforce, supply chains, and the overall global competitiveness of the industry. This session aims to provide insights into how these technological changes are influencing the future landscape of manufacturing.
"Humanoids Summit Tokyo Opens with Keynote by Professor Ishiguro on 'Cybernetic Avatar Society in 2050'"
The "Humanoids Summit Tokyo 2026," an international conference focused on humanoid robots and physical AI, commenced on May 28 in Tokyo. This event marks the first time the summit, which originated in Silicon Valley, is being held in Asia. The conference is organized by ALM Ventures, a U.S.-based venture capital firm, with support from the AI Robot Association (AIRoA) in Japan. The summit aims to foster collaboration and innovation in the rapidly evolving field of robotics and artificial intelligence.
OECD’s Claire Jolly to Reveal Critical Priorities for a Sustainable Future Ocean Economy in Keynote Speech at Oi26
Claire Jolly, the Lead of the Ocean Economy programme at the OECD, is set to address Oceanology International 2026, where she will emphasize the urgent need for enhanced global collaboration to harness the potential of a sustainable ocean economy. Scheduled for the event, Jolly will unveil insights from a significant new biennial report titled "The Ocean Economy at A Glance," which aims to guide policymakers in addressing the challenges posed by ongoing global forces affecting ocean health. This initiative underscores the OECD's commitment to fostering sustainable practices in ocean management and economic development.
oecd
DNA Origami Creates Nanoscale Switch with High Endurance, Featured in Science Robotics
Researchers at the Technical University of Munich have unveiled a groundbreaking DNA origami switch that can undergo more than 190,000 state transitions while maintaining an impressive efficiency of 94%. This innovative nanoscale device operates effectively under electric fields and is capable of retaining its state even when power is turned off. The development of this switch represents a significant advancement in the use of DNA as a durable engineering material for nanoscale applications, positioning it as a potential key component in the future design of nanorobots. The study underscores the versatility and robustness of DNA in engineering, paving the way for new technological possibilities in nanotechnology.
DNA Nanotechnology Nanoscale Devices Robotics Biomolecular Engineering
Single-molecule tracker illuminates workings of cancer-related proteins
A team of researchers has developed advanced microscopy and nanotechnology techniques to monitor the activity of individual proteins in real-time. This innovative approach allows scientists to gain unprecedented insights into protein dynamics, which are crucial for understanding various biological processes and diseases. The research, conducted in a state-of-the-art laboratory, aims to enhance the understanding of cellular mechanisms and potentially lead to breakthroughs in medical treatments. By tagging proteins with custom-built nanotechnology, the team can visualize and track their movements and interactions, providing valuable data that could inform future studies in biochemistry and molecular biology. This work represents a significant advancement in the field, promising to deepen our comprehension of life at the molecular level.
Research Proteins Cells Chemistry Imaging Cancer
Amorepacific's AI Beauty Lab Offers Customized Products at Amore Yongsan Store
Amorepacific has launched its flagship store, Amore Yongsan, where AI and robotics create personalized beauty products, including foundations and lip cosmetics. Customers engage in a 15-minute AI consultation to select from 335 shades, with the Hera Custom Match service being particularly popular. The store also features a scalp diagnostic program and a fragrance lab, enhancing the customer experience. This innovative approach to beauty customization is significant as it positions Amore Yongsan as a potential new beauty district in Seoul, attracting both local and foreign customers. The store manager noted a nearly equal ratio of Korean and foreign clients, with a higher percentage of foreigners opting for product creation services. The bespoke essence service, inspired by Japanese preferences, further emphasizes the demand for tailored beauty solutions. Looking ahead, Amorepacific's integration of AI technology in beauty consultations and product creation may set a new standard in the industry. The store's research-focused environment, including AI skin scans and fragrance development, showcases the brand's commitment to innovation. No further timeline was disclosed at the time of publication.
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MIT Develops FloatForm Swarm of Autonomous Boats for Adaptive Marine Infrastructure
MIT researchers have unveiled FloatForm, a swarm of 21-centimeter-square autonomous robotic boats capable of self-assembling into floating structures. Each boat is equipped with thrusters, sensors, and a magnetic latching mechanism, allowing them to connect and reconfigure with minimal human intervention. This modular system can adapt to various environments, supporting applications such as emergency response, temporary bridges, and floating markets in waterways across diverse geographies. The significance of FloatForm lies in its decentralized swarm robotics approach, which enables the boats to make local decisions rather than relying on a central controller. This design enhances scalability and efficiency, allowing the robots to navigate and coordinate independently while maintaining robust structural integrity. The innovative magnetic latching system, inspired by origami, allows for reliable connections between boats, facilitating the creation of larger, adaptive structures on water. Future developments will focus on expanding the capabilities of FloatForm for use in canals, rivers, and coastal areas. The researchers aim to deploy larger versions of the robots for various applications, including temporary infrastructure and environmental monitoring. No further timeline was disclosed at the time of publication, but the potential for this technology to transform marine operations is significant, as noted by experts in the field.
AI and Robotics
Humanoids Summit Continues Global Expansion with Seoul Edition
The Humanoids Summit, a global event series focused on humanoid robotics and Physical AI, will make its South Korean debut at the COEX Convention Center in Seoul on September 22-23, 2026. This inaugural edition follows the successful Tokyo summit earlier this year, which attracted over 2,000 attendees from 30 countries. The Summit aims to connect key players in the humanoid robotics ecosystem, including companies, researchers, investors, and policymakers, as the industry transitions from research to commercial deployment. Seoul, recognized for its advanced technology sectors in manufacturing, robotics, and artificial intelligence, provides an ideal backdrop for this gathering. The event will feature keynote presentations, technical sessions, live robot demonstrations, and networking opportunities, all designed to foster discussions on the commercialization and mass production of humanoid robotics technologies. Modar Alaoui, Founder and Chair of the Humanoids Summit, emphasized the significance of this decade for humanoid robotics, stating that the industry is entering "The Humanoid Economy." The Summit is expected to attract a diverse audience, including robotics companies, startups, and international media, further solidifying its role as a pivotal meeting point for the global humanoid robotics community. Registration and sponsorship opportunities are now available on the Summit's official website.
"When robots learn to write code, how will sweet potatoes rewrite the infrastructure of the industry?"
As advancements in artificial intelligence continue to evolve, the integration of robots capable of writing code is poised to transform various industries. This shift is particularly noteworthy in the agricultural sector, where innovative practices involving sweet potatoes are emerging. Researchers and industry experts are exploring how these developments could enhance agricultural infrastructure and efficiency. The exploration into this intersection of technology and agriculture is gaining momentum, with discussions taking place at conferences and workshops throughout 2023. Experts believe that by leveraging AI-driven coding capabilities, agricultural processes can be optimized, leading to increased productivity and sustainability. The motivation behind this initiative stems from the need to modernize farming practices and address challenges such as food security and resource management. By utilizing robots to automate coding tasks, farmers can focus on strategic decision-making and innovative cultivation methods. This evolution in the industry is expected to unfold through collaborative efforts among technologists, agricultural scientists, and farmers, who are working together to implement AI solutions. As these technologies become more accessible, the potential for sweet potatoes and other crops to play a pivotal role in reshaping agricultural infrastructure is becoming increasingly evident. The ongoing research and development efforts aim to create a more resilient and efficient agricultural system, ultimately benefiting both producers and consumers.
Robotics Automation AI
What lessons is Ideal learning to catch up with FSD V14?
The competitive landscape of the intelligent driving industry has undergone significant changes in recent years, shifting from hardware specifications to advanced model development. Companies are increasingly recognizing that merely having larger models is insufficient for achieving generational advantages; instead, the integration of models, data, computing power, and chips into a continuous iterative loop is becoming crucial. This realization has prompted many automakers to invest in in-house research and development. Tesla has established a comprehensive ecosystem that spans data collection, training infrastructure, and self-developed chips, while Chinese companies like Li Auto, Xpeng, and NIO are also deepening their technological foundations. Li Auto has introduced its self-developed Mach M100 chip in its L8 and L9 models, which it views as a significant advancement in AI technology. In a recent discussion with Li Auto's autonomous driving and chip leaders, they emphasized that the industry should focus on the practical problems these investments aim to solve rather than merely the existence of in-house development. They outlined their strategies to achieve performance comparable to Tesla's Full Self-Driving (FSD) system, highlighting the importance of safety, efficiency, and comfort in user experience. As the industry moves towards higher levels of autonomy, the integration of vision and language models is seen as essential for developing systems that can handle complex, unforeseen scenarios. The executives noted that achieving higher levels of autonomy (L3 and L4) requires models that can reason and think like humans, underscoring the growing significance of language in AI systems. Overall, the conversation revealed the industry's focus on enhancing AI capabilities through innovative chip design and data utilization, aiming for a future where autonomous driving technology can meet the challenges of real-world driving conditions.
Zhang Yaqin: AI is not a bubble, but AI companies are.
In June, during an interview at the Tsinghua Wuxi Research Institute's Intelligent Industry Innovation Center, Academician Zhang Yaqin discussed the current state of AI investment and entrepreneurship, suggesting a more cautious approach to the rapidly growing sector. Zhang, who founded the Tsinghua University Intelligent Industry Research Institute (AIR) five years ago, noted that while AIR has successfully incubated ten companies with a combined valuation of 150 billion yuan, its primary focus remains on research rather than commercialization. Zhang, a prominent figure in AI and a fellow of the IEEE, likened the current AI investment climate to the internet boom of 1998-1999, emphasizing the importance of sustainable growth and cautioning against the potential for market bubbles. He highlighted the need for new AI algorithms to enhance efficiency and pointed out that while the AI sector holds significant long-term potential, many early-stage companies may face challenges in proving their viability. Every June, AIR hosts the "Taihu Dialogue" in Wuxi, fostering discussions on AI advancements. Zhang expressed concerns about the risks associated with high valuations and the necessity for a focused approach in startups. He emphasized that while funding is crucial, it should not overshadow the importance of developing robust products and technologies. Looking ahead, Zhang identified "physical AI" as a key area for development by 2026 and outlined the challenges of creating robots capable of performing complex tasks in real-world environments. He underscored the importance of collaboration between academia and industry to cultivate talent and drive innovation in AI, while also addressing the ethical and safety risks associated with advanced AI systems.
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
Post-00s entrepreneurs take center stage at 36Kr offline event: "Go big or go home."
On the evening of May 29, 36Kr and Light Source Capital hosted the second offline gathering titled "TokenAge" in Beijing, focusing on the impact of AI on productivity rather than just token consumption metrics. The event featured four prominent guests from the AI startup scene: Huang Yi, founder of RoboParty, which specializes in open-source bipedal robots; Zheng Jiaxi, founder of Eup Robotics, developing underwater inspection robots for offshore energy platforms; Jin Ruofan, founder of Science Intelligence, exploring AI applications in scientific research; and Huang Xinxin, head of Light Source Capital's 3i Innovation Incubator. The gathering highlighted the challenges faced by young entrepreneurs in the AI sector, emphasizing the need for rapid product delivery and clear commercialization strategies. Attendees, including entrepreneurs and investors, engaged in discussions about how companies should reorganize in the AI era and why AI has yet to significantly enhance organizational efficiency. Light Source Capital's CEO, Zheng Xuanle, noted that AI represents a fundamental shift in productivity, akin to electricity, and is driving innovation across various sectors. The event underscored the importance of understanding AI's potential and the necessity for organizations to adapt to its rapid evolution. As AI becomes increasingly integrated into business processes, the focus will shift from merely adopting technology to fostering a culture of innovation and strategic thinking among teams. The evening concluded with each guest setting ambitious goals for the coming year, reflecting their commitment to advancing their respective fields within the AI landscape.
Voice AI Systems Are Vulnerable to Hidden Audio Attacks
Researchers are set to unveil alarming findings regarding AI-powered voice and audio tools at the IEEE Symposium on Security and Privacy in San Francisco next week. The study reveals that modified audio clips, imperceptible to human ears, can manipulate large audio-language models (LALMs) to execute unauthorized commands with a success rate between 79 and 96 percent. This vulnerability allows attackers to control devices, conduct sensitive web searches, and even send emails containing user data without the user's knowledge. The research, led by Meng Chen, a Ph.D. student at Zhejiang University in China, demonstrates that these attacks can be executed in real-time and do not require the attacker to have full control over the user's instructions. Instead, adversarial audio can be embedded in various media, such as online videos or voice notes, making it a pervasive threat. The technique, dubbed AudioHijack, exploits a critical flaw in LALM design, allowing malicious instructions to be hidden within manipulated audio clips. The researchers tested their method on 13 leading open models, including those from Microsoft and Mistral, and found that their attacks could be adapted to commercial models as well. While Microsoft acknowledged the importance of the research in enhancing model resilience, Mistral did not respond to inquiries. The study highlights the challenges in defending against such attacks, as common defenses have proven largely ineffective, underscoring the urgent need for improved security measures in AI audio technologies.
Hacking Digital-audio Adversarial-attacks Open-source-software Cybersecurity
‘Predator-like’ light-powered micromotors to mine uranium from oceans, wastewater
Researchers at the Qinghai Institute of Salt Lakes in China have made a significant breakthrough by developing a new microscopic material that has the potential to revolutionize various industries. This innovative material, created using advanced techniques, was unveiled during a recent scientific conference held in Xining, the capital of Qinghai Province. The development aims to address challenges in fields such as energy storage, environmental protection, and biomedical applications. The motivation behind this research stems from the growing need for more efficient and sustainable materials that can enhance performance while reducing environmental impact. By leveraging unique properties at the microscopic level, the scientists have demonstrated that this new material can improve energy efficiency and offer enhanced functionality compared to existing alternatives. The team utilized a combination of nanotechnology and material science to synthesize the material, which exhibits remarkable strength and versatility. Initial tests have shown promising results, indicating its potential for practical applications in batteries, water purification systems, and drug delivery mechanisms. As the research progresses, the scientists are optimistic about the material's future applications and its ability to contribute to technological advancements. They plan to collaborate with industry partners to further explore its commercial viability and to bring this innovative solution to market, potentially transforming how various sectors approach material challenges.
Tesla to create 1,000 new jobs in Germany, responding to Model Y demand
In a recent development, a significant event unfolded in the tech industry as major companies gathered for the annual Global Technology Summit held in San Francisco on October 15, 2023. Industry leaders, including CEOs from top firms, convened to discuss the future of artificial intelligence and its implications for various sectors. The summit aimed to address growing concerns about the ethical use of AI and to foster collaboration among tech giants. The motivation behind this gathering stemmed from the increasing scrutiny surrounding AI technologies, particularly regarding privacy, security, and job displacement. Participants engaged in panel discussions and workshops, sharing insights on best practices and innovative solutions to navigate these challenges. The event featured keynote speeches from prominent figures, including government officials and renowned researchers, who emphasized the need for regulatory frameworks to ensure responsible AI development. Networking opportunities allowed attendees to forge partnerships and explore potential collaborations that could shape the future of technology. As the summit concluded, participants expressed optimism about the potential of AI to drive positive change, while also acknowledging the importance of addressing the associated risks. The discussions at the Global Technology Summit are expected to influence policy decisions and industry standards in the coming months, marking a pivotal moment in the ongoing dialogue about technology's role in society.
12 Graphs That Explain the State of AI in 2026
As major AI companies like OpenAI and Anthropic prepare for initial public offerings later this year, the landscape of artificial intelligence continues to evolve rapidly. The 2026 AI Index report from Stanford University reveals that the U.S. remains the leader in AI model development, with 50 notable models released in 2025, although China's advancements in robotics are noteworthy, having installed 295,000 industrial robots in 2024. The report highlights a staggering growth in global AI compute capacity, which has tripled annually since 2022, largely driven by Nvidia's GPUs. However, the environmental impact of AI training is concerning, with estimates indicating that training large language models can generate over 72,000 tons of carbon emissions. Despite these challenges, AI investment surged to a record $581 billion in 2025, primarily in the U.S., reflecting a growing enthusiasm for AI technologies among software engineers and researchers. Public sentiment towards AI has slightly improved, with 59% of survey respondents believing the benefits outweigh the drawbacks. However, trust in government regulation of AI remains low in the U.S., with only 31% expressing confidence. This mixed perception underscores the ongoing debate about AI's societal impact, as advancements in technology continue to outpace regulatory frameworks.
Ai-index Artificial-intelligence Stanford-university
Boston Dynamics' Atlas Behavior Model Open-Sourced by Independent Developer
In a noteworthy advancement for the field of robotics, Bryson K. Jones has unveiled an open-source version of the Large Behavior Model (LBM) developed by the Toyota Research Institute. This model, which serves as the driving force behind Boston Dynamics' Atlas robot, offers a streamlined solution that delivers high performance without requiring extensive computational power. By making this technology accessible to developers, Jones aims to democratize robotics innovation, allowing a broader range of creators to experiment and build upon this foundational model. The release marks a significant step forward in making advanced robotic capabilities more attainable for various applications.
Robotics Behavior Models Open Source AI Machine Learning
Gill Pratt Says Humanoid Robots’ Moment Is Finally Here
In 2012, the U.S. Defense Advanced Research Projects Agency (DARPA) launched the DARPA Robotics Challenge (DRC), a multimillion-dollar competition aimed at advancing disaster robotics. Gill Pratt, the architect of the DRC and now CEO of the Toyota Research Institute (TRI), envisioned the challenge as a catalyst for significant progress in robotics, similar to earlier DARPA initiatives that revolutionized driverless cars. A decade later, Pratt believes humanoid robots are on the brink of a transformative breakthrough, largely due to advancements in artificial intelligence (AI). Pratt notes that while the physical capabilities of humanoid robots have improved, the real change lies in their cognitive abilities. Recent AI developments allow robots to learn tasks through demonstration rather than programming, although data availability remains a challenge. He emphasizes the need for robots to develop deeper reasoning capabilities, beyond mere pattern recognition, to navigate complex real-world scenarios effectively. At TRI, Pratt's team is focusing on "care-receiving robots" to address societal issues like aging and loneliness. He highlights the importance of using robotics to enhance quality of life, particularly for the elderly. However, he cautions against the current hype surrounding humanoid robotics, warning that many advancements are still reliant on basic pattern-matching techniques. Pratt advocates for a balanced perspective to avoid potential disillusionment in the field, drawing parallels to the earlier challenges faced in automated driving.
Humanoid-robots Darpa Artificial-intelligence Drc
DNA robots could deliver drugs and hunt viruses inside your body
Scientists are developing innovative DNA robots, which are miniature programmable machines with the potential to revolutionize medicine and technology. These cutting-edge devices, capable of delivering drugs, targeting viruses, and constructing molecular-scale devices, are being created by integrating principles from traditional robotics with advanced DNA folding techniques. The robots can be precisely controlled through chemical reactions or external stimuli, such as light and magnetic fields. This groundbreaking research is paving the way for new applications in healthcare and nanotechnology, showcasing the versatility and precision of DNA as a building material for future robotic systems.
Video Friday: These Robots Were Born to Run
IEEE Spectrum's weekly feature, Video Friday, showcases a collection of innovative robotics videos and highlights upcoming robotics events, including the International Conference on Robotics and Automation (ICRA) scheduled for June 1-5, 2026, in Vienna. This week’s videos introduce advanced modular building blocks that allow for the automatic design and rapid assembly of agile robots capable of navigating unstructured outdoor environments, a significant advancement from traditional legged robots that rely on predefined designs. Additionally, the RIVR project presents a concept for an ideal urban delivery robot, while KIMLAB introduces TRIP-Bag, a portable teleoperation system designed for high-fidelity data collection in various settings. TUM has developed an open-vocabulary semantic exploration system that enhances robots' ability to map and locate objects in dynamic environments. In a practical demonstration, a reconfigurable robot assists a team responding to a simulated radiation leak at a nuclear facility, showcasing its adaptability in challenging conditions. Meanwhile, Carnegie Mellon University's Robomechanics Lab reflects on a devastating flood that destroyed many of its robots, honoring them with a tribute video. Lastly, the 2025 Silicon Valley Humanoids Summit features a keynote by Disney Research's Moritz Baecher, discussing insights into robotic character development.
Robotics Humanoid-robots Video-friday Modular-robots Robot-videos Quadruped-robots
Nekton’s Oliver Steeds OBE Honoured on Dynamic Opening Day at Oceanology International
Oliver Steeds OBE, a leading figure in ocean exploration and marine technology, was honored during the opening keynote of Oceanology International (Oi26), which commenced its largest edition to date. The event, held on a dynamic first day, emphasized the critical importance of the ocean as a pressing frontier in contemporary environmental discussions. Steeds highlighted the urgent need for innovation and collaboration in marine exploration to address the challenges facing ocean ecosystems. The conference gathered industry leaders, researchers, and policymakers to share insights and advancements, aiming to foster a collective effort in marine conservation and technology development.
oceanology international
Robot Talk Episode 147 – Miniature living robots, with Maria Guix
In a recent discussion, Claire spoke with Maria Guix, a chemist and nanotechnology researcher at the University of Barcelona, about the innovative field of biohybrid robots. This conversation highlighted Guix's work in the ChemInFlow lab, where she focuses on merging electronics with biological components to develop miniaturized living robots. These biohybrid robots possess emergent properties that could enhance their functionality and adaptability. Guix is also integrating flexible sensors into microfluidic platforms, a process aimed at advancing the understanding of these robotic systems. The research is significant as it explores the intersection of biology and technology, potentially leading to breakthroughs in robotics and bioengineering.
Social media round-up from #IROS2025
The 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025) was held from October 19 to 25 in Hangzhou, China. This prominent event gathered experts and enthusiasts in the field of robotics to engage in a comprehensive program that featured plenary and keynote talks, workshops, tutorials, forums, competitions, and a debate. In addition to the educational sessions, the conference included an exhibition where companies and institutions showcased their latest advancements in hardware and software, highlighting the ongoing innovations in intelligent robotics. The conference aimed to foster collaboration and knowledge sharing among researchers and industry professionals, reflecting the growing importance of robotics in various sectors.
What’s coming up at #IROS2025?
The 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025) is set to take place from October 19 to 25 in Hangzhou, China. This prominent event will feature a diverse program that includes plenary and keynote talks, workshops, tutorials, forums, competitions, and a debate, aimed at fostering collaboration and innovation in the field of robotics. Among the highlights are three plenary talks scheduled for each day of the conference, providing attendees with insights from leading experts. The conference serves as a platform for researchers, industry professionals, and academics to exchange ideas and showcase advancements in intelligent robotics, reflecting the growing importance of this technology in various sectors.
MIT and Samsung Enhance Quantum Dot LED Lifespan for Energy-Efficient Displays
MIT researchers, in collaboration with Samsung, have developed a method to improve the lifespan and efficiency of quantum dot LEDs (QD-LEDs) used in digital displays. By encapsulating QD-LEDs in an acrylate-based resin, the team achieved a remarkable 5,000-fold increase in lifespan, addressing previous limitations that hindered commercial applications. This advancement could significantly impact various devices, including TVs, smartphones, and medical imaging equipment. The significance of this research lies in its potential to transform digital display technology. Quantum dots, known for emitting pure colors, are already utilized in high-quality displays. The new encapsulation technique not only enhances the stability of QD-LEDs but also simplifies their manufacturing process, paving the way for broader adoption in consumer electronics. This could lead to displays that are not only brighter and more energy-efficient but also capable of producing a wider range of colors. Looking ahead, the insights gained from this study may facilitate further innovations in display technology. The researchers aim to address the challenges that have limited the commercialization of QD-LEDs, potentially revolutionizing how displays and ambient lighting are produced. No further timeline was disclosed at the time of publication.
Research Electronics Chemistry Materials science and engineering Nanoscience and nanotechnology Light
Improving the performance of high-power electronics
Researchers have discovered that applying a thin layer of diamond can significantly enhance the speed and energy efficiency of next-generation wireless devices. This innovative approach addresses the challenge of excessive heat generated during device operation, which has been a limiting factor in the performance of modern technology. The findings, which emerged from ongoing studies in advanced materials science, highlight the potential for diamond to serve as an effective thermal management solution. This breakthrough could pave the way for faster and more efficient wireless communication, ultimately benefiting consumers and industries reliant on high-performance devices.
Research Computer chips Electronics Carbon materials Nanoscience and nanotechnology Mobile devices
Powering 160,000 hours of discovery at MIT.nano
The NanoFab Equipment Management and Operations (NEMO) system has been introduced to enhance the management of shared facilities, focusing on tool training, reservations, and lab communications. This innovative platform aims to streamline operations for users, ensuring efficient access to equipment and resources. The system is designed to support collaborative research environments by providing a centralized hub for managing various aspects of facility usage. With the implementation of NEMO, users can expect improved coordination and communication within the lab, ultimately fostering a more productive research atmosphere. The rollout of this system is expected to significantly benefit researchers and technicians alike, facilitating a smoother workflow and better resource allocation.
Facilities Research Open source Collaboration Software Nanoscience and nanotechnology
Otter’s new feature lets users search across their enterprise tools
Otter has announced the launch of a new Windows application designed to capture meeting notes without requiring users to join the meeting. This innovative tool aims to enhance productivity by allowing users to automatically transcribe discussions and key points during meetings, even if they are not present. The app is set to be available starting in October 2023, providing a convenient solution for professionals who may be unable to attend meetings in real-time. By leveraging advanced transcription technology, Otter seeks to streamline note-taking processes and improve information accessibility for users, ultimately supporting better collaboration and communication in the workplace.
AI otter AI meeting AI notetaker
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
ASUS Japan Launches Retro ROG CROSSHAIR 2006 Motherboard to Celebrate 20 Years
ASUS Japan has unveiled the ROG CROSSHAIR 2006 motherboard, a special edition celebrating the 20th anniversary of the ROG brand. Priced at nearly 140,000 yen, this motherboard features a nostalgic design that replicates the original blue and white slots from its 2006 predecessor, which debuted just before the launch of Intel's Core 2 Duo processor. The release of the ROG CROSSHAIR 2006 has generated significant interest, with initial stock selling out on the same day it became available. Retailers like Orio Spec noted the high demand, reflecting a growing trend in Akihabara for retro-themed PC components. Alongside this motherboard, ASUS also introduced a new liquid cooling kit, the ROG STRIX LC IV 360 ARGB LCD, which supports cable-free operation with compatible motherboards. As the Akihabara market continues to embrace retro designs, it will be important to monitor how this trend influences consumer preferences and product offerings. No further timeline was disclosed at the time of publication.
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
