Danish manufacturer of ultra-reliable power control and protection systems for harsh marine and industrial environments. Products include alarm monitors and engine controllers with low total cost of ownership; serves offshore and naval customers globally.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
Pudu Robotics showcased its entire product lineup at the 2026 World Artificial Intelligence Conference (WAIC 2026) held in Shanghai from July 17 to 20, including the world premiere of the next-generation semi-humanoid robot 'PUDU D7'. Attendees had the opportunity to take commemorative photos with 'PUDU D7' and receive unique snapshots from the robot's perspective. The event also featured a multi-robot cooperative demonstration with the quadruped robot 'PUDU D5', which autonomously navigated while avoiding pedestrians. The robots demonstrated their autonomous navigation capabilities on an obstacle course simulating gravel, steps, and slopes, achieving a maximum speed of 5 m/s during drift driving. Use cases for autonomous inspection in complex environments such as power substations and industrial parks were also presented. In addition to 'PUDU D7', Pudu Robotics exhibited various robots including the serving robot 'BellaBot', industrial transport robot 'PUDU T300', and commercial cleaning robots 'PUDU MT1 Max' and 'PUDU CC1 Pro', highlighting their applications across diverse industries such as food service, retail, manufacturing, and logistics. No further timeline was disclosed at the time of publication.
On July 21, Humanoid, based in London, announced the completion of $152 million in Series A funding, achieving a post-money valuation of $1.35 billion. This funding round, led by strategic investors including Schaeffler and Bosch, marks the largest Series A funding for a humanoid robotics company in Europe, bringing the total funding to $270 million. The significance of this funding lies in its strategic partnerships. Schaeffler and Bosch are not only financial backers but also strategic collaborators, with Bosch establishing a manufacturing partnership with Humanoid. This collaboration aims to leverage their industrial expertise and technological capabilities to advance humanoid robotics from vision to industrial reality. Looking ahead, Humanoid plans to utilize the funding to focus on developing the next generation of humanoid platforms and scaling production of wheeled humanoid robots, with a Beta version expected to launch in Q4 2026. The investment from major European industrial players signals a growing momentum in the humanoid robotics sector in Europe.
Humanoid Robots Robotics Funding AI Technology Industrial AutomationOn July 21, SpaceX launched a dual-arm space robot named MRV from Cape Canaveral, Florida. Its mission is to extend the lifespan of aging satellites by attaching jetpacks to them in geostationary orbit, preventing them from becoming space debris. The first clients for this service are Luxembourg's SES and Australia's Optus, with each satellite's replacement costing up to hundreds of millions of dollars. This initiative is significant as it marks a shift in how satellites are viewed—not as disposable assets but as reusable ones that can be repaired and refueled. Northrop Grumman, the manufacturer of MRV, has experience in satellite servicing, having previously extended the lives of malfunctioning satellites. The MRV's capabilities may evolve to include repairing and repositioning active satellites and even removing defunct ones from busy orbits. Looking ahead, the success of MRV could pave the way for more advanced satellite servicing technologies. Just two weeks prior, another robotic spacecraft, LINK, was launched to rescue NASA's Swift Observatory, which is at risk of re-entering the atmosphere. As robotics play an increasingly vital role in space operations, the economic landscape of space could be fundamentally transformed.
Space Robotics Satellite Services Orbital Maintenance Space EconomyIn July, Texas Tech University Health Sciences Center (TTUHSC) welcomed its first cohort of general surgery residents, who began their training with the da Vinci Surgical System. This innovative approach aims to equip new surgeons with skills comparable to those at leading institutions like Mayo Clinic and hospitals in Dallas and Houston. The training program, led by Dr. Izzy Obokare, emphasizes a systematic learning process over five years, allowing residents to master robotic surgery techniques. The da Vinci Surgical System, approved by the FDA in 2024, features a tactile feedback system that enhances the surgical experience by reducing tissue trauma and promoting quicker recovery. TTUHSC's initiative aims to provide high-quality surgical care in the Texas Panhandle, minimizing the need for residents to travel to larger cities for advanced procedures. The program also includes an open experience event for healthcare providers to witness the capabilities of robotic surgery firsthand, showcasing the arrival of cutting-edge surgical technology in rural Texas.
Robotic Surgery Medical Technology Surgical Training Healthcare InnovationSK On has announced that solid-state batteries can allow industrial robots to operate for up to 8 hours, addressing a significant limitation of current lithium-ion batteries, which typically provide only 1 to 2 hours of runtime. This advancement could reduce downtime in 24-hour production lines, where frequent battery changes are necessary. However, the cost implications are substantial. Currently, lithium-ion batteries account for less than 2% of the total cost of industrial robots, but switching to solid-state batteries could increase this to approximately 8%, resulting in a fourfold rise in overall costs. For instance, Tesla's Optimus robot has a battery cost of about $300, which is only 0.5% of its total hardware cost. SK On has developed a total cost of ownership (TCO) model that factors in the costs of spare batteries, charging downtime, and additional backup machines, suggesting that solid-state batteries may be more economical in the long run for continuous operation scenarios. The company has completed a solid-state battery pilot plant in Daejeon, South Korea, and plans to commercialize two battery technologies by 2028 and 2029, respectively. No further timeline was disclosed at the time of publication.
Solid-State Batteries Industrial Robots Battery Technology Cost EfficiencyOn July 21, Medtronic announced the development of a real-time AI computing platform, the Touch Surgery assistance platform, for its Hugo surgical robot. This platform integrates NVIDIA's computing infrastructure and runs Medtronic's FDA-approved AI application, Instrument Exit Point (IEP), which alerts surgeons when instruments are at risk of going out of view during procedures. This advancement is significant as it redefines safety boundaries in surgical procedures, allowing for enhanced real-time monitoring and decision-making. Medtronic's Chief Technology Officer, Jim Pecher, emphasized that real-time AI represents a fundamental evolution in surgical support, shifting from merely assisting surgeons to enabling smarter, faster actions that have a greater impact. Looking ahead, Medtronic plans to showcase the Touch Surgery platform at the upcoming robotic surgery conference in Florida. While IEP currently offers basic functionality, the company aims to expand its capabilities into laparoscopic surgery and integrate additional AI applications, marking a pivotal step towards cognitive assistance in surgical robotics.
Surgical Robots AI in Healthcare Robotic Surgery Medical TechnologyRun Robotics introduced the world's first hybrid 'Centaur' robot at the WAIC 2026 in Shanghai, redefining humanoid robotics. This innovative design features a four-wheeled all-terrain chassis combined with a humanoid upper body equipped with robotic arms, enabling it to navigate complex terrains and perform tasks in hazardous environments. The significance of this development lies in its potential applications in areas deemed unsafe for humans and inaccessible to traditional robots, such as steel mills, oil fields, and disaster sites. With over 95% of its core components sourced domestically, the Centaur robot showcases China's growing capabilities in advanced robotics manufacturing. Looking ahead, Run Robotics plans to complete an automated assembly line by Q4 2026 and has already secured commercial orders for the Centaur robot. This innovation not only highlights the strength of China's robotics industry but also emphasizes a shift in design philosophy—robots need not resemble humans but must be effective in their tasks.
Hybrid Robots Robotics Innovation AI Technology Industrial AutomationResearchers at the Massachusetts Institute of Technology (MIT) have developed a flying robot that weighs less than a paperclip and is the size of a cassette tape, capable of navigating through tight spaces in disaster scenarios. Published on July 21 in 'Science Advances', this micro flying robot achieves insect-level speed, acceleration, and maneuverability, including continuous flips and sharp turns. The significance of this development lies in its advanced artificial intelligence control system, which enables the robot to perform complex flight maneuvers in real-time despite its lightweight design. The new control system has improved the robot's flight speed by 447% and acceleration by 255%, allowing it to execute ten consecutive backflips in just 11 seconds with minimal deviation. Looking ahead, the research team aims to integrate lightweight cameras and sensors into the robot, enabling it to autonomously navigate through real-world debris and tight spaces. This bionic flight behavior will enhance its ability to locate survivors in disaster situations, potentially transforming rescue operations from traditional probing methods to direct visual assessments.
Micro Flying Robots Disaster Rescue Technology AI Control Systems Robotics Autonomous NavigationIn Wuxi, a new police initiative has introduced a team of robots, including humanoid robots and robotic dogs, to assist in public safety. This pilot program, known as the 'Intelligent Armor Team,' began testing traffic management robots in April and deployed robotic dogs for inspections at major events in July. The collaboration between Wuxi Public Security and local companies aims to address the challenges of developing effective robotic solutions for law enforcement. The significance of this initiative lies in its potential to enhance public safety while reducing human exposure to dangerous situations. By providing a testing environment and clear requirements, Wuxi Public Security has facilitated the development of these robotic systems, which are seen as a promising market for embodied intelligence. However, the initial deployment has revealed challenges, such as the need for multiple operators to control the robots and limitations in their operational capabilities. Looking ahead, the traffic management robots are evolving from being remote-controlled to integrating with traffic signal systems for more autonomous operation. As these systems improve, they may significantly change how public safety is managed in urban environments. No further timeline was disclosed at the time of publication.
Robotic Police Autonomous Systems Public Safety Technology Surveillance RobotsRecent discussions at the 2026 World Artificial Intelligence Conference highlighted the challenges and opportunities in achieving a 'GPT moment' for robotics. Experts emphasized that while large language models have thrived on vast data, robotics lacks a comparable 'physical internet' for learning. The consensus is that the next phase of embodied intelligence must focus on creating systems that can continuously generate physical experiences and learn from failures. The conversation revealed differing opinions on when robotics might reach its 'ChatGPT moment,' with predictions ranging from two to five years. However, experts agree that the real challenge lies not in creating impressive demos but in scaling 'experience' rather than just data. Current embodied intelligence data is significantly less than that of leading language models, highlighting a critical gap in the field. As the industry evolves, the need for a robust data infrastructure akin to the internet for language models becomes apparent. Experts pointed out that achieving a high success rate in robotic tasks will require extensive data, potentially in the order of hundreds of millions of hours. This underscores the urgent need for the robotics sector to develop its own data ecosystem to foster growth and innovation.
Physical Intelligence Robotics AI Data Infrastructure
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