Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Employee Handbook Translation Services Are No Longer Optional for Modern Workplaces
In an effort to enhance workplace communication and ensure compliance with safety standards, a mid-sized manufacturing company has updated its employee handbook to include translated versions for its multilingual workforce. The initiative, spearheaded by the HR manager, aims to clarify workplace expectations and policies, thereby fostering a more inclusive environment for all employees. Recognizing that automated translation tools often produce inaccuracies, the company prioritized the use of professional translation services to ensure that the wording in the handbooks is precise and accessible. This strategic move not only supports better understanding among employees but also reinforces the company's commitment to safety and compliance. The updated handbooks are expected to improve employee engagement by making essential information readily available in multiple languages. By maintaining consistency across teams, the company hopes to create a cohesive workplace culture that values clear communication and inclusivity. This proactive approach reflects a growing trend among businesses to address the needs of diverse workforces and enhance overall operational efficiency.
Business Technology automation news business communication compliance training construction workforce
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 $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.
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 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.
Serve Robotics (SERV) Expands AI-Powered Robot Delivery Into Laundry Services Through NoScrubs Deal
Serve Robotics Inc. has announced a significant expansion of its AI-powered robot delivery services to include laundry, following a deal with NoScrubs. This partnership, revealed on June 2, 2026, allows Serve Robotics to utilize its fleet of approximately 2,000 autonomous sidewalk robots to pick up and deliver laundry orders in addition to its existing food delivery services. NoScrubs, which operates in seven major metropolitan areas, provides a comprehensive laundry service that includes washing, drying, and folding clothes. The collaboration aims to optimize delivery operations by scheduling laundry pickups and returns during off-peak hours for food deliveries. Orders will be assigned to Serve Robotics based on their availability and storage requirements. This move marks Serve Robotics' entry into a new vertical, with plans to explore further opportunities in grocery, pharmacy, retail, and dry cleaning markets. Despite a 45% decline in its stock value this year, analysts view this as a potential buying opportunity, projecting a 190% increase over the next year. The company continues to focus on expanding its delivery capabilities while serving thousands of restaurants across major cities in the U.S.
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.
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 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.
Next Geosolutions, Through its Subsidiary Rana Subsea, Signs LOI with Saipem for the Provision of “SAT Diving” Services in the Middle East
A significant agreement valued at approximately $150 million has been established, with a planned duration of 36 months. This contract aims to enhance collaboration and development in the relevant sector, reflecting a strategic move by the involved parties to strengthen their operational capabilities. The initiative is expected to yield substantial benefits over the course of its execution, contributing to advancements in technology and service delivery. The agreement underscores a commitment to long-term partnership and innovation, positioning the stakeholders for future growth and success.
nextgeo
Three Years Later: Remembering the TITAN Tragedy and Advancing Submersible Safety
Three years after the tragic loss of the OceanGate submersible TITAN in the North Atlantic, Pelagic Research Services (PRS) commemorates the lives lost during the incident. The organization joins the global maritime and undersea community in reflecting on the profound impact of this event, which marked one of the most significant deep-ocean emergency responses in recent history. The remembrance serves not only as a tribute to those who perished but also as a reminder of the challenges and risks associated with deep-sea exploration.
oceangate submersible titan pelagic research services
Anthropic scales Claude Mythos to critical infrastructure in 15+ countries
Anthropic is broadening its Project Glasswing initiative, a program designed to address security vulnerabilities, by extending access to its Mythos platform to 150 organizations across 15 countries. This expansion focuses on critical infrastructure sectors, including power, water, healthcare, and communications, where potential cyberattacks could impact up to 100 million individuals. The move aims to bolster cybersecurity measures in these vital areas, reflecting the growing concern over the risks posed by cyber threats to essential services and public safety.
AI Security Anthropic Claude Mythos
Oceaneering Awarded Contract by Esso Exploration Angola (Block 15) Limited for ROV Services and Integrated Solutions
Oceaneering International, Inc. has secured a significant contract with Esso Exploration Angola, a subsidiary of ExxonMobil, to provide support services for offshore operations in Angola's Block 15. The agreement, which began on July 1, 2025, is projected to yield between $80 million and $90 million in revenue over the next three years. This partnership underscores Oceaneering's commitment to enhancing operational efficiency in the region's oil and gas sector.
oceaneering contract award esso exploration angola block 15 rov services
Exail to Equip Petrobras FPSOs with Quadrans AHRS in Brazilian Offshore Project
Exail, a prominent player in inertial navigation technologies, has announced a significant contract with Brazilian offshore services firm Mitang. Under this agreement, Exail will supply 30 Quadrans Attitude and Heading Reference Systems (AHRS) for installation on Floating Production, Storage and Offloading units (FPSOs) operated by Petrobras. This deal highlights the growing collaboration between technology providers and the offshore oil and gas sector in Brazil, aiming to enhance operational efficiency and safety in maritime environments. The systems are expected to be deployed on the FPSOs off the Brazilian coast, contributing to the region's energy production capabilities.
exail petrobras fpsos quadrans ahrs offshore project
DeepOcean’s Subsea Services Offering Reinforced by Vessel Capacity Extensions
DeepOcean, a prominent ocean services provider, has enhanced its subsea capabilities by extending its charter agreements with Østensjø Rederi for three vessels. This strategic move ensures that DeepOcean's advanced subsea vessel, Edda Freya, will continue to be part of its fleet until at least 2026, with further options for extension available. The decision reflects DeepOcean's commitment to bolstering its operational capacity in the subsea sector, responding to increasing demand for specialized marine services.
deepocean subsea services vessel capacity østensjø rederi edda freya
Uber Expands Beyond Ride-Hailing with Hotels, Boat Rentals, and Financial Services
Uber has been diversifying its offerings beyond ride-hailing and delivery, introducing hotel bookings through a partnership with Expedia, concierge features, and boat rentals in Europe. This shift aims to enhance the travel experience for users, who often require rides and food during their trips. Uber's Chief Product Officer, Sachin Kansal, emphasized that travel is a crucial addition to their services, complementing rides and food delivery. The expansion into travel and financial services is significant as Uber seeks to strengthen its market position and relationships with autonomous vehicle partners. The company is developing a new business unit, AV Labs, focused on gathering driving data through sensor-equipped vehicles, which could provide leverage against competitors like Waymo. This strategy reflects Uber's ambition to evolve into a comprehensive platform while maintaining a selective approach to its offerings. Looking ahead, Uber's approach to integrating new services will be crucial. The company is exploring partnerships for financial services and may consider deeper integrations based on user traction. No further timeline was disclosed at the time of publication.
TC Transportation AI Uber Sachin Kansal
Bentley prices drop to 270,000; second-hand luxury fuel car prices plummet; Cambrian loses 70 billion in market value in a
OpenAI has reportedly achieved a significant technological breakthrough, successfully reducing the operational costs of its AI model inference by over 50% through a series of system optimizations. This development was disclosed by engineers within the company on June 30. Meanwhile, in the automotive sector, the price of second-hand luxury fuel vehicles has seen a dramatic decline, with a Bentley listed at approximately 26,800 yuan and a Porsche Macan at around 15,000 yuan as of July 1 in Qingdao. This drop is attributed to a notable increase in depreciation rates, which reached 30% in May alone, a stark contrast to the previous annual average of 30%. In the realm of artificial intelligence, Anthropic announced that its Claude model is now fully available on Microsoft Foundry, allowing enterprise users to deploy the model within the Azure environment. Additionally, Amazon Web Services revealed plans to invest $1 billion to establish a new AI department aimed at assisting clients in building AI systems. In financial news, Warren Buffett has paused his annual donations to the Bill and Melinda Gates Foundation, pending the outcome of an investigation related to the late Jeffrey Epstein. Furthermore, the U.S. Federal Reserve Chairman emphasized the ongoing challenge of high inflation levels in the country, indicating a commitment to maintaining price stability. As for the tech industry, Meta is reportedly planning to sell excess AI computing resources to external clients, intensifying competition with major cloud service providers.
GA Robotics launches three models of UBTECH humanoids for research, commercial, and industrial use in Japan.
GA Robotics, the official distributor of UBTECH humanoid robots in Japan, announced the launch of three new models set to be available domestically starting June 30, 2026. The models include the "Walker Tienkung DEX" designed for research and development, the "Walker C1" tailored for commercial services, and the "Cruzr Y1" intended for industrial applications. This initiative aims to enhance technological innovation and support various sectors in Japan by providing advanced robotic solutions.
Microsoft warns about new cyber threats and response strategies.
The rise of sophisticated phishing attacks utilizing multi-factor authentication (MFA) has been observed, with cybercriminals increasingly employing tactics that exploit popular AI services such as ChatGPT, Claude, and DeepSeek. This alarming trend highlights the evolving nature of phishing strategies in the AI era, where attackers use these well-known platforms as bait to deceive users into revealing sensitive information. Experts are now emphasizing the importance of understanding these advanced threats and implementing effective defense mechanisms to protect against such vulnerabilities. As the digital landscape continues to evolve, awareness and proactive measures are crucial in safeguarding personal and organizational data from these emerging cyber threats.
NEURA Robotics and Amazon Web Services Enter Strategic Collaboration to Accelerate Physical AI at Scale
NEURA Robotics and Amazon Web Services (AWS) have announced a strategic collaboration aimed at advancing Physical AI on a global scale. This partnership, revealed on April 21, 2026, will leverage NEURA's cognitive robotics platform alongside AWS's cloud and AI infrastructure to develop and deploy intelligent robots capable of working alongside humans. The collaboration will focus on three key areas: utilizing AWS's cloud infrastructure to support the Neuraverse for training and data processing, integrating NEURA's training environments with Amazon SageMaker to enhance AI development, and joining the AWS Partner Network to explore the deployment of NEURA's robotic systems in Amazon's fulfillment centers. This initiative aims to address the challenge of acquiring real-world training data, which is essential for the effective deployment of robotics in logistics and warehouse operations. David Reger, CEO of NEURA Robotics, emphasized that the partnership will enable the scaling of their technology in one of the most advanced operational environments, while Jason Bennett, VP at AWS, highlighted NEURA's innovative approach as crucial for unlocking the potential of Physical AI. Together, they aim to create a robust ecosystem that facilitates continuous learning and improvement of robotic intelligence, ultimately bringing the vision of Physical AI into reality.
Eric Jing: Ant Group to Strengthen Support for Hong Kong’s Global Finance and Tech Leadership with AI, GoGlobal Services
Eric Jing, Chairman of Ant Group, emphasized the company's dedication to enhancing cross-sector collaboration in regulated artificial intelligence and tokenization during a recent panel discussion in Hong Kong. The event, which also featured Christopher Hui, Hong Kong’s Secretary for Financial Services and the Treasury, focused on strategies to bolster the city’s role in supporting Chinese businesses in their global expansion efforts. Jing outlined Ant Group's plans to broaden its cross-border payment and trade financing services, aligning with Hong Kong's initiatives aimed at facilitating international trade for local enterprises. This commitment reflects Ant Group's strategic vision to leverage innovative financial technologies to foster economic growth and international collaboration.
Events News AI Ant Group Finance Globalization
CMU, Pitt Researchers Move Forward in Three-Year, $7M DARPA Triage Challenge
Researchers from Carnegie Mellon University and the University of Pittsburgh, collectively known as Team Chiron, are advancing to the second round of the Defense Advanced Research Projects Agency's (DARPA) Triage Challenge. This competition, which spans three years and has a total funding of $7 million, aims to develop innovative solutions for emergency medical triage. Team Chiron's participation highlights their commitment to enhancing healthcare responses in critical situations, leveraging their combined expertise in robotics and artificial intelligence. The next phase of the challenge will test their advancements in real-world scenarios, showcasing the potential impact of their research on emergency medical services.
Uncategorized
UBTECH's Busy Month: Advancements in Humanoid Robotics Across Three Sectors
UBTECH, a prominent player in humanoid robotics, has unveiled its latest innovations, the Walker C1 and Walker U1 models. The Walker C1, designed for commercial services, was showcased at the China International Supply Chain Expo, highlighting its advanced capabilities. Meanwhile, the consumer-oriented Walker U1 has already received over 5,000 pre-orders, indicating strong market interest. The company is strategically focusing on integrating its robots across industrial, commercial, and home environments, emphasizing customization and adaptability to meet diverse user needs. With these developments, UBTECH is positioning itself as a leader in the rapidly evolving robotics sector.
Humanoid Robots Commercial Robotics Consumer Robotics Industrial Automation
Established for 90 days, three rounds of financing, hundreds of millions in revenue, is humanoid robot leasing really a trend?
The Beijing Humanoid Robot Innovation Center, designated as China's "national team" for embodied intelligent robots, is spearheading advancements in core technologies and establishing a self-sustaining industrial ecosystem. Since its inception, the center has focused on fulfilling national strategic objectives. Recently, it launched an embodied intelligent robot data and training base, marking a significant enhancement in the country’s capabilities in this field. This facility not only provides a robust data infrastructure but also leads the development of the nation’s first data collection standards for embodied intelligence. By offering specialized services and generating high-quality data, the center aims to facilitate the integration of humanoid robots into various sectors and households. This initiative is part of China's broader strategy to foster new productive forces and achieve technological self-reliance during a pivotal shift from "perceptual intelligence" to "embodied intelligence."
Robotics Automation AI
No-code automation: One video guide instructs three completely different robots
A research team at the Federal Technology Institute of Lausanne (EPFL) in Switzerland has unveiled an innovative robotic system designed to assist in search and rescue operations. This groundbreaking development was announced on October 15, 2023, during a press conference held at the institute's headquarters in Lausanne. The motivation behind creating this advanced robotic technology stems from the increasing need for efficient and effective tools in emergency response situations, particularly in challenging environments where human rescuers may face significant risks. The robotic system is equipped with state-of-the-art sensors and artificial intelligence capabilities, allowing it to navigate complex terrains and identify victims in disaster-stricken areas. By simulating various emergency scenarios, the research team demonstrated the robot's ability to operate autonomously while providing real-time data to human operators. This integration of robotics into search and rescue missions aims to enhance the safety and efficiency of rescue efforts, ultimately saving more lives. The EPFL team emphasizes that this technology could revolutionize the way emergency services respond to crises, particularly in remote or hazardous locations. As the project progresses, further testing and collaboration with emergency response teams are planned to refine the robot's capabilities and ensure its practical application in real-world situations.
Robotaxis pose a threat to London's iconic black cabs
London's iconic black cab drivers, known for their rigorous training that requires them to memorize 25,000 streets to obtain a license, are facing potential competition from the emergence of robotaxis in the city. As autonomous vehicles prepare to enter the market, the traditional taxi industry is bracing for a shift in the transportation landscape. This development comes as technology advances and regulatory frameworks evolve, allowing for the introduction of self-driving cars to provide rides in London. The rise of robotaxis could challenge the livelihoods of cab drivers who have long relied on their extensive knowledge of the city's streets. With the rollout of these automated services expected soon, the future of London's black cabs hangs in the balance, prompting discussions about the implications for both drivers and passengers.
Google cloud growth tops Microsoft and Amazon as all three beat estimates on AI demand
In a recent financial update, leading tech giants Amazon, Google, and Microsoft announced their first-quarter cloud results, which exceeded analysts' expectations. This positive performance indicates a significant uptick in demand for artificial intelligence services. The reports, released in early April 2023, highlight the growing importance of cloud computing and AI technologies in the current market landscape. As businesses increasingly turn to AI solutions to enhance efficiency and innovation, these companies are poised to benefit from the rising trend. The robust results reflect not only the strength of their cloud services but also the broader shift towards digital transformation across various industries.
Chinese platforms fined 3.6b yuan for food safety violations amid cutthroat rivalry
China's State Administration for Market Regulation (SAMR) has imposed fines exceeding 3.6 billion yuan (approximately US$527.3 million) on seven prominent e-commerce and food delivery platforms, including Pinduoduo, Meituan, and JD.com. This decision was announced on Friday following an investigation that revealed these companies had inadequately verified the licenses of food vendors and permitted unverified "ghost" catering services to operate on their platforms. The regulatory action underscores the government's commitment to ensuring food safety and compliance within the rapidly growing online food service industry.
DeepOcean and Woodside Advance Subsea Efficiency Through Dual-scope Approach
DeepOcean, a global ocean services provider, has partnered with Woodside Energy (Senegal) B.V. to conduct simultaneous inspections and 3D scanning of subsea infrastructure at the Sangomar field, located offshore Senegal. This operation, which took place recently, aims to enhance the understanding and management of the subsea assets in the area. By utilizing advanced technology for inspection and scanning, the collaboration seeks to ensure the integrity and safety of the infrastructure, which is crucial for ongoing energy operations. The successful execution of this project underscores the commitment of both companies to leveraging innovative solutions for efficient subsea management in the energy sector.
deepocean woodside subsea efficiency
Kongsberg Listen Scores Commercial Breakthrough with DOF HUGIN Order
Kongsberg Discovery has announced its first commercial order for the Kongsberg Listen electromagnetic sensing solution, marking a significant milestone for the company. The order comes from DOF, a prominent provider of integrated subsea and marine services for the global offshore energy sector. DOF has chosen this cutting-edge ‘passive’ technology to be incorporated into an integrated payload on a new HUGIN autonomous underwater vehicle (AUV). The agreement was unveiled today during the Oceanology International event taking place in London, highlighting the growing interest in advanced sensing technologies within the marine industry.
kongsberg listen dof hugin
Greensea IQ’s EverClean Expands to the Bahamas Through Partnership with Executive Marine Management
Greensea IQ has announced the launch of its EverClean hull cleaning service for vessels visiting ports across the Bahamas, effective immediately. This service will be provided by Executive Marine Management (EMM), a prominent marine services company in the region. The introduction of EverClean’s innovative, autonomous hull cleaning technology marks a significant expansion into one of the busiest cruise and shipping areas in the Western Hemisphere. This initiative aims to enhance marine maintenance efficiency and promote environmental sustainability in the bustling maritime sector of the Bahamas.
greensea iq everclean bahamas partnership
Sulmara Grows Global Operations with Three New Offices and Bolsters its Global Team by 25%
Sulmara, a prominent independent subsea survey and inspection company, has expanded its operations by moving to larger facilities in Glasgow and Taipei, while also inaugurating a new office in Norwich. This strategic relocation and expansion come in response to a significant growth in the company's workforce, which increased by 25% over the past year, bringing the total number of employees to 250. The decision to enhance their physical presence in key locations reflects Sulmara's commitment to supporting its global team and meeting the rising demand for its services in the subsea industry.
sulmara growth global operations new offices
Why Does a Bank Need a Chief Scientist?
Prem Natarajan, formerly the head of Alexa AI at Amazon, has transitioned to the role of Chief Scientist at Capital One, a leading financial institution serving over 100 million customers. This move comes as the landscape of artificial intelligence (AI) research shifts from large tech companies to industry-specific applications, particularly in finance, where the challenges are more complex and require a nuanced understanding of customer needs and regulatory constraints. Capital One has long been recognized for its data-driven approach, having invested heavily in cloud technology to create a robust data ecosystem. This infrastructure supports innovative AI research aimed at solving real-world problems, such as real-time fraud detection and personalized customer interactions. Unlike many banks that view AI merely as a tool, Capital One is establishing a scientific community focused on developing impactful AI solutions. Natarajan emphasizes the importance of “destination-back thinking,” where the team envisions ideal customer experiences and works backward to identify necessary scientific advancements. This methodology, combined with a commitment to continuous learning and a unique cloud-first architecture, allows Capital One to tackle challenges that are often overlooked by traditional financial institutions. The bank's efforts have garnered recognition, with Capital One being ranked as a leader in AI talent and innovation, accounting for a significant portion of AI patents in the financial sector. Through partnerships with academic institutions and a focus on agentic AI systems, Capital One aims to enhance financial services for millions, positioning itself at the forefront of AI advancements in the industry.
Ai-research Agentic-ai Financial-services Tech-careers Type-sponsored Financial-technology
Claude Mythos Preview Requires New Ways to Keep Code Secure
Malicious actors are increasingly leveraging generative AI to conduct cyberattacks, employing AI-generated deepfakes for scams, AI-assisted malware, and chatbots for phishing campaigns. In early April, Anthropic’s Frontier Red Team revealed that its Claude Mythos Preview model identified thousands of critical vulnerabilities across major operating systems and web browsers, despite not being specifically trained for this purpose. This prompted the launch of Project Glasswing, a collaborative initiative with tech giants like Amazon Web Services, Apple, Google, Microsoft, and Nvidia, aimed at using Mythos Preview to enhance software security. While generative AI demonstrates remarkable capabilities in identifying code vulnerabilities, experts warn that these same abilities can be exploited by cybercriminals. Jeremy Katz, vice president of code security at Sonar, noted that AI can effectively pinpoint security flaws within extensive codebases. However, the technology is not without its challenges, including the potential for false positives, which complicates the process for open-source maintainers. To mitigate these issues, cybersecurity professionals advocate for a balanced approach that incorporates human oversight in the verification of AI findings. Techniques such as adversarial self-review and dynamic threat modeling are suggested to enhance the reliability of AI tools. Experts emphasize the importance of integrating security measures earlier in the software development lifecycle and providing ongoing training for developers to preemptively address vulnerabilities. As AI continues to evolve in its ability to detect and classify security weaknesses, the focus will shift towards effectively remediating these vulnerabilities at scale.
Anthropic Coding Artificial-intelligence
Oceaneering Acquires 100 Exail Octans 9 Attitude Heading Referencing Systems to Enhance Offshore Operations
Oceaneering International, a leading provider of engineered services and products for the offshore energy sector, has made a significant move by placing an initial order for at least 100 units of Exail’s latest Octans 9 Attitude Heading Referencing Systems (AHRS). This acquisition, announced recently, highlights Oceaneering's dedication to innovation and operational efficiency. By integrating the advanced AHRS technology, the company aims to bolster its capabilities in offshore survey and positioning projects, thereby enhancing its service offerings in a competitive market. The decision reflects Oceaneering's strategic focus on improving its technological resources to meet the evolving demands of the offshore energy industry.
oceaneering exail octans 9 attitude heading referencing systems offshore operations
Hummingbird F100 Revolutionizes Wind Turbine Blade Inspection with Wireless Technology
The Hummingbird F100, launched by Schrodinger Industrial Group, marks a significant advancement in wind turbine blade inspection. This device operates wirelessly, enabling stable connections over distances of up to 150 meters, and is designed to navigate complex internal structures of turbine blades, which are typically challenging to inspect due to their confined spaces. The global market for wind turbine blade inspection services is projected to grow from $7.74 billion in 2025 to $8.48 billion in 2026, with a compound annual growth rate of 9.6%. The Hummingbird F100 addresses the industry's need for more efficient inspection methods by automating data collection and analysis, shifting from reactive maintenance to proactive asset management. Looking ahead, the integration of AI with inspection robotics will enhance defect detection and reporting capabilities. The transition from wired to wireless operations will not only streamline deployment but also expand operational ranges and reduce on-site risks. The Hummingbird F100's modular design allows for rapid adaptation to various inspection scenarios, positioning it as a key player in the evolving wind energy sector.
Wind Turbine Inspection Robotics AI Technology Data Management Wireless Solutions
JD Group Launches First RoboBase Project in Guangzhou to Foster Robotics Ecosystem
On July 11, JD Group signed a comprehensive strategic cooperation agreement with the Guangdong provincial government, focusing on nine key areas including digital economy and modern logistics. The first physical benchmark of this agreement, the RoboBase project, commenced construction in the Huangpu Science City, Guangzhou. This marks JD's first RoboBase globally, covering approximately 190,000 square meters, with completion expected by the end of 2028 and an anticipated annual output value of about 1.75 billion yuan. The RoboBase project aims to integrate high-end manufacturing, technological innovation, and ecological services, concentrating on core robotic components, complete machine manufacturing, and high-end intelligent equipment. JD's approach is unique as it positions itself as an 'industrial infrastructure operator' rather than directly engaging in robot manufacturing. This strategy is designed to support robotics companies by providing a conducive environment for their operations. Looking ahead, JD's RoboBase will facilitate long-term testing for robots across various real-world scenarios, including JD MALL and logistics parks. The project also emphasizes talent development through partnerships with vocational schools in Guangdong. No further timeline was disclosed at the time of publication.
Robotics Ecosystem High-End Manufacturing Technological Innovation Supply Chain Solutions
Alipay Introduces AI Open Platform to Enhance Ant Group's AI Commerce Infrastructure
Alipay has launched an AI open platform that enables merchants to package their services as plug-ins for AI agents. This initiative is part of Ant Group's strategy to enhance its AI commerce infrastructure, which has been developed over the past three months. The introduction of this platform is significant as it allows for greater integration of services across various devices, including phones, cars, and terminals. This move is expected to streamline commerce and improve user experiences, aligning with the growing trend of AI-driven solutions in the financial technology sector. Looking ahead, it will be important to monitor how merchants adopt this platform and the impact it has on their service offerings. No further timeline was disclosed at the time of publication.
Technology
Researchers teach drones to avoid crashes before it’s too late
An engineer from the University of Houston has created an innovative onboard safety system designed to enhance drone safety by preventing crashes. This new technology enables drones to navigate around obstacles and avoid potential collisions, even in the face of unforeseen circumstances that may disrupt their flight paths. The development of this system addresses growing concerns over drone safety as their use becomes increasingly prevalent in various sectors, including delivery services and aerial photography. By integrating advanced algorithms and sensors, the system allows drones to make real-time adjustments, ensuring safer operations in complex environments. This breakthrough could significantly reduce the risk of accidents, paving the way for broader adoption of drones in urban areas and other challenging settings.
News
AI Models Overthink Problems—and It’s a Security Risk
Large language models (LLMs) that can think through problems step-by-step have significantly increased the scope of tasks that AI can tackle. But new research suggests these reasoning capabilities also introduce a critical vulnerability that could allow attackers to slow these systems to a crawl.While earlier generations of LLMs would immediately produce a response to a user’s request, today’s most advanced models generate an internal monologue where they break down the problem into steps and reason about the best way to tackle it before providing an answer. This has allowed AI to tackle increasingly complex problems, particularly in areas like coding and math.However, previous research has shown that these models are susceptible to sometimes producing excessively long streams of reasoning that do little to boost performance, a phenomenon known as “overthinking.” In research presented this week at the International Conference on Machine Learning 2026 in Seoul, researchers from Zhejiang University and e-commerce giant Alibaba in China demonstrate that they can deliberately induce overthinking by subjecting models to logically inconsistent prompts. The result is a form of denial-of-service attack on commercial AI models.Evolutionary Prompt Attack on LLMsThe team has developed an evolutionary algorithm that corrupts the logical structure of prompts, causing models to spiral into overthinking as they attempt to reason through fundamentally unsolvable problems. Generating longer responses costs more and increases the load on a model provider’s servers, so if done at scale, the researchers say, this could significantly degrade the experience of legitimate users. The attack was effective against reasoning models from leading AI companies including DeepSeek-R1, Alibaba’s Qwen3-Thinking, OpenAI’s GPT-o3, and Google’s Gemini 2.5 Flash and resulted in outputs up to 26 times as long as standard responses on a standard math benchmark.“Across multiple datasets and reasoning models, our method substantially amplifies the output length,” Wei Cao, a masters student at Zhejiang University, wrote in an email to IEEE Spectrum. “Our results suggest that overthinking is not an isolated phenomenon specific to individual models, but rather a shared vulnerability among modern reasoning models.”The team’s approach builds on previous research from another group of researchers that showed reasoning models tend to overthink when faced with a question in which a key premise has been removed—such as asking how far someone who walks ten miles a day covers in total without specifying how many days they walked for. Rather than identifying that the problem is unsolvable, models often engage in extended but ultimately fruitless reasoning loops in an attempt to answer the question.Taking the idea a step further, the authors took 940 problems from three math benchmark datasets and used an LLM to break down their logical structure into a set of premises and a final question. The genetic algorithm then jumbled these up using a variety of “mutations,” including swapping premises between problems, adding extra premises to problems, deleting existing premises from problems, and swapping the final questions between two sets of premises.After each round of mutations, the problems are scored on how many words they cause a target model to output and also whether they increase the frequency of specific linguistic markers of overthinking—words like “but,” “wait,” “maybe,” or “alternatively.” The problems that scored highest on both measures are retained and the remaining ones are jumbled up again, and this process is repeated for five generations. Crucially, the approach doesn’t require access to the internals of a model and can generate malicious prompts by simply querying the target, which makes it possible to attack closed-source commercial services, says Cao.Overthinking Vulnerability in AI ModelsThe researchers found that the approach consistently led to outputs several times longer than those generated by the unmodified questions for the reasoning models they tested it on. The biggest jump came from DeepSeek-R1 on the MATH dataset, which is made up of problems from high school math competitions, where the maximum output was 26.1 times as long as the longest response the model provided to unaltered questions. While the main thrust of the research was focused on math problems, the authors also tested it on coding, scientific reasoning, and dialogue challenges, and observed significant jumps in output length in all three.One challenge for the approach is that developing the malicious prompts requires repeated queries to expensive reasoning models, which Cao admitted could limit its cost-effectiveness. However, the researchers also demonstrated that when they used a smaller, cheaper model to generate the malicious prompts they were still able to induce the target models to produce outputs several times longer than normal. This ability to transfer malicious prompts between models significantly increases the attack’s feasibility, Cao wrote.However, he pointed out that the goal of the research is not to develop a practical DoS attack on reasoning models. Factors like the providers’ pricing model, rate limiting policies, context window size, and existing defenses could all impact how effective the approach is. The intention is instead to highlight these models’ vulnerability to logically inconsistent prompts so that providers can attempt to mitigate the problem.“Our objective is not to demonstrate that large-scale attacks can be launched at negligible cost, but rather to establish that this attack surface exists,” he wrote. “Our results indicate that the vulnerability represents a realistic security concern.”
Llms Artificial-intelligence Denial-of-service Cybersecurity
$70 Million Investment in Nail Art Robots?
10Beauty, an innovative company specializing in automated nail art, has successfully secured $23.5 million in Series B funding, raising its total funding to over $70 million. The investment will support the expansion of its flagship product, 'The 10', a cutting-edge automated nail machine that provides a comprehensive manicure experience in just 25 to 45 minutes. Utilizing artificial intelligence and precision robotics, 'The 10' ensures both hygiene and personalized service for users. To enhance accessibility, 10Beauty has formed partnerships with major retailers, including Ulta Beauty and Nordstrom, to seamlessly integrate its services into their existing retail environments. This funding round marks a significant step in the company's mission to revolutionize the nail care industry through technology.
Nail Art Robots Automated Beauty Services AI Technology Retail Partnerships
Pakistan gives foreign banks an edge in shift to Islamic finance
FinancePakistan gives foreign banks an edge in shift to Islamic financeDomestic lenders required to convert to sharia-compliant model from 2028One currency, two banking systems. Pakistan's banks must all offer sharia-compliant services from 2028, but foreign banks will be able to continue offering non-Islamic services alongside -- giving them a possible advantage. © ReutersADNAN AAMIRJuly 7, 2026 14:31 JSTISLAMABAD -- In the run-up to its banking reform toward Islamic banking, the Pakistani government has decided to require domestically owned banks to operate under a fully sharia-compliant model from 2028 to eliminate interest-based finance.Read NextEnergyPakistan approves final link in 1,600-km national oil pipelineFinanceBangladesh bets $3.2bn to avert a banking crisis but reforms elusiveBusiness trendsPakistani gig workers' exports to hit record high but AI threats loomCommoditiesIndian families scale back on gold for weddings as prices hover near highsEnergyBangladesh power cuts deepen as government struggles to pay billsFood & BeverageIndia's sugar industry likely to exit exports and exist for ethanolDefensePakistan unfazed by Afghan-Russian military pact, say officialsTradeChinese firms brace for new EU rules as trade deficit tops $1bn a dayInternational relationsBangladesh courts China to drive infrastructure and trade pushBusiness dealsPakistan offers up 3 state-owned power distributors in privatization pushLatest on FinanceFinanceSingapore's Temasek to raise AI exposure 2.5-fold over 5 yearsFinanceJapan brokerages set sights on US mega-IPOs after strong SpaceX debutFinanceJapan's blockchain-based security tokens to open to foreign investorsSponsored ContentAbout Sponsored ContentThis content was commissioned by Nikkei's Global Business Bureau.
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
Palladyne AI Executes $4.2 Million U.S. Air Force Contract to Advance Swarming Capabilities for Integrated Cross-Domain Operations
Palladyne AI Executes $4.2 Million U.S. Air Force Contract to Advance Swarming Capabilities for Integrated Cross-Domain Operations Visit http://www.palladyneai.com for further information Palladyne AI’s SwarmOS™ platform to support satellite integration, marking a major expansion of its multi-domain autonomy and ISR capabilities across space, air, maritime, and land 07/07/26, 06:15 AM | Mobile Robots, Other Topics | Palladyne AI Corp. Palladyne AI Corp. (NASDAQ: PDYN and PDYNW) ("Palladyne AI"), a developer of artificial intelligence software for robotic platforms in the defense and commercial sectors, today announced that it has executed the previously announced contract awarded by the Air Force Research Laboratory (AFRL) to solve one of the most persistent challenges in modern defense operations—how to make different autonomous systems work together as one coordinated team. The "Hierarchical Adaptive Networked Game-Theoretic Integration of Multiple Echelons (HANGTIME)" contract will address this need. More Headlines A3's Automate 2026 Breaks Records as Demand for Robotics, AI and Automation Grows NVIDIA and Hugging Face Bring New Models and Frameworks to LeRobot for the Open Robotics Community ABB Robotics completes its AI-powered Visual SLAM AMR portfolio with new autonomous forklift UMA Unveils Its Vision for the Next Generation of Humanoid Robots Robbyant Unveils LingBot-Depth 2.0 and LingBot-Vision to Redefine Robotic Spatial Perception Articles Unleash AI Innovation: The Power of NVIDIA RTX PRO 6000 Blackwell Workstation Edition Fueled by PNY-Supplied GPUs Automate 2026 Q&A with DESTACO Automate 2026 Q&A with Roboteon Advances in Robots to See & Interpret within Warehouse Environments Building Resilient Fulfillment Networks with Robotics and Real-Time Logistics Data Today, drones, ships, and satellites often operate largely independently, limiting how quickly warfighters can see and respond to threats. HANGTIME will utilize Palladyne AI's patented SwarmOS™ software platform—the defense variant of the Palladyne™ Pilot embodied AI software—as the baseline technology to bridge that gap, connecting disparate systems so they can share intelligence, adapt to changing conditions, and act in sync across domains, including space, air, maritime, and land. By integrating satellites for the first time, this project also extends Palladyne AI's technology from the ground to orbit, enabling faster, more informed decision-making and coordinated mission execution, turning tactical commanders into strategic commanders by giving them more cross-domain intelligence, surveillance, and reconnaissance (ISR) capabilities than ever before. "Our collaboration with AFRL showcases what's next for autonomous operations," said Ben Wolff, President and CEO, Palladyne AI. "This isn't about replacing humans—it's about giving them sharper, faster insight. By connecting satellite, aerial, and ground systems using the patented SwarmOS embodied AI platform as a foundational technology, we're helping the warfighter make better decisions in real time and stay one step ahead on the battlefield." "The HANGTIME project is a breakthrough that unites high-altitude assets and situational unmanned systems into one coordinated sensor network—delivering a major advantage for the defense industry," said Dr. Denis Garagic, Chief Technology Officer, Palladyne AI. "For the first time, a single AI framework can coordinate assets across multiple domains, including satellites. That means these systems can now think and act together as a team, sharing what they see and learning as conditions change." "The HANGTIME effort represents a critical step in multi-domain autonomy for coordinated execution in challenging environments," said Caleb Williams, Program Manager, AFRL/RIEA. For more information on Palladyne AI and its patented collaborative autonomy software, including SwarmOS, please visit www.palladyneai.com. For more information about AFRL, please visit www.afrl.af.mil. About Palladyne AI Palladyne AI is a U.S.-based technology company developing patented embodied artificial intelligence, collaborative autonomy solutions, advanced avionics, autonomous systems, advanced UAV engineering services, and precision-manufactured components for defense and industrial markets. Palladyne AI delivers secure, American-developed and operated platforms designed to meet the stringent requirements of U.S. government and public-sector customers, including data sovereignty, security, and compliance. Palladyne AI's embodied AI is designed to operate in complex, contested, and high-risk environments, enabling distributed tasking, human-on-the-loop decision-making, degraded-communications resilience, and multi-domain coordination. Its platform-agnostic autonomy stack combines real-time sensor fusion, adaptive AI models, and edge-native orchestration—without vendor lock-in—to support autonomous and collaborative systems across air, ground, maritime, and industrial domains w
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
