Physical AI, humanoid robots, robot learning, and embodied intelligence from Figure, Boston Dynamics, Tesla, and research labs.
439 articles
At its first Embodied AI Jam event, SAP gathered customers, robot manufacturers, system integrators, and industry experts to develop practical embodied AI use cases within just a few days. Source: news.sap.com
The company behind ChatGPT is now building humanoid and other robots, not just the AI models that will control them. Sam Altman suggested such robots could eventually become a common household product. Source: forbes.com
Cloud AI platform Nscale has signed a multi-year strategic partnership with humanoid robotics company Figure. The deal aims to provide the computing infrastructure needed to scale physical AI systems. Source: nscale.com
AI cloud provider Nscale has entered a major multi-year agreement worth $3.5 billion with humanoid robotics developer Figure. The partnership underscores growing investment in physical AI infrastructure. Source: pymnts.com
As robotics capabilities and commercial applications expand, analysts suggest value could spread across the entire physical AI supply chain. The KOID humanoid robotics ETF is being watched as a possible signal of this shift. Source: seekingalpha.com
UBS says AI is on the verge of gaining real physical autonomy through robotics. The bank recommends investors focus on companies supplying the core technologies behind humanoid robot functions. Source: businessinsider.com
Google's research into applying large language models to robotic control has become a turning point for the industry. The breakthrough helped trigger a broader surge of interest and investment in robotics powered by AI. Source: understandingai.org
Startup Lyte has closed a $165 million financing round, pushing its valuation to $1.6 billion. The deal reflects growing investor enthusiasm for physical AI, a field blending robotics with artificial intelligence. Source: calcalistech.com
Wetour Robotics unveiled a system combining surface electromyography (sEMG) sensors with computer vision to train physical AI models. The technology aims to capture human muscle activity alongside visual data to improve robotic learning and motion control. Source: finance.yahoo.com
Perceptron AI has launched Isaac 0.5, described as a frontier robotics model released with open weights. The move gives developers and researchers access to advanced robotics AI without proprietary restrictions. Source: hpcwire.com
Skild AI has introduced S1, positioned as its flagship foundation model designed to power a wide range of robotic systems. The company presents it as a general-purpose model meant to give robots broader real-world capabilities. Source: therobotreport.com
Embodied AI systems running on edge devices are reportedly reaching fundamental limits with current computational approaches. Experts argue that new mathematical frameworks will be needed to overcome these constraints and enable more capable robotics and physical AI at the edge. Source: therobotreport.com
Antioch has developed a simulation platform designed to accelerate the creation and testing of physical AI systems for robotics. The tool aims to let developers train and validate robotic behaviors virtually before deploying them in the real world. Source: nebius.com
Sanctuary AI, known for its Phoenix humanoid robot, is now offering the AI system that powers it as a standalone product. The move signals a shift toward licensing its control software to other robotics makers rather than just building complete robots. Source: forbes.com
Sanctuary AI is spinning off the AI software behind its Phoenix humanoid into a separate product for other robotics companies. This lets the firm monetize its control system independently of hardware sales. Source: startupfortune.com
Nvidia is positioning its chips and software platforms as the standard infrastructure for robotics worldwide, and Chinese manufacturers are showing strong interest. The push highlights Nvidia's ambition to dominate the robotics compute market much like it does AI training. Source: wsj.com
Robotics is moving from older 'teach and repeat' programming methods toward SelfPath AI, a new approach enabling robots to adapt and navigate more autonomously. This shift is seen as a major leap forward for industrial and service robotics. Source: therobotreport.com
Following Tesla's lead, Chinese automakers are increasingly betting on robotics as a future source of major profits. The move signals growing overlap between the electric vehicle industry and humanoid robot development. Source: techcrunch.com
Chip maker Renesas has launched a new physical AI and robotics lab in Beijing, aiming to supply components covering up to 70% of a humanoid robot's bill of materials. The move underscores growing competition among chipmakers to power the humanoid robotics boom. Source: autonews.gasgoo.com
The US National Science Foundation is funding a $30 million research initiative focused on how humans and robots can learn collaboratively. The program aims to advance shared learning systems that improve human-robot cooperation. Source: automate.org