Physical AI, humanoid robots, robot learning, and embodied intelligence from Figure, Boston Dynamics, Tesla, and research labs.
439 articles
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
The University of Texas will head a National Science Foundation-funded research center focused on how robots and humans can learn to work and live together. The initiative aims to study long-term interaction and cooperation between people and robotic systems. Source: news.utexas.edu
Robotics company Figure is investing heavily in a gig-economy style platform that pays people to produce data used to train its robots. The initiative reflects a broader industry push to solve the data bottleneck in humanoid robot development. Source: forbes.com
NVIDIA's technical blog outlines a method for training a single navigation policy that works across different robot body types using AI agents. The approach aims to make robot navigation systems more generalizable rather than built for one specific hardware design. Source: developer.nvidia.com
At a recent robot competition, a humanoid robot completed the 100-meter dash in 8.64 seconds, nearly a full second faster than Usain Bolt's human world record. The event showcased rapid progress in humanoid robot locomotion and speed. Source: reuters.com
The CEO of RoboStrategy argues that Tesla's biggest advantage in robotics doesn't stem from its AI capabilities. Instead, he points to other factors as the company's key differentiator in the sector. Source: finance.yahoo.com
Robotics startup Generalist has reportedly reached a $3 billion valuation following its latest funding round. The surge highlights growing investor confidence in AI-powered robotics ventures. Source: techcrunch.com
NVIDIA has introduced the Jetson Orin Nano 2, a new robotics computer aimed at reshaping affordable edge AI hardware. The chip targets developers building low-cost robotics and embedded AI systems. Source: nvidianews.nvidia.com
AI robotics company Generalist has reportedly closed a new $200 million investment round. The funding underscores continued investor interest in startups building AI-driven robots. Source: axios.com
At Beijing's so-called 'Robot Olympics,' a Chinese humanoid robot completed the 100-meter sprint nearly 0.2 seconds faster than Usain Bolt's world record. The event highlighted rapid advances in humanoid robot mobility and speed. Source: semafor.com
Georgia Southern University has brought a state-of-the-art humanoid robot into its Allen E. Paulson College of Engineering and Computing. The robot is meant to enrich hands-on learning and support new research projects for students. Source: griceconnect.com
Galbot humanoid robots faced off against human players in what is described as the world's first autonomous humanoid tennis match, sustaining more than 100 consecutive rallies. The demonstration marks a new milestone for AI-driven robotics in sports. Source: prnewswire.com
Unitree's chief executive says a true breakthrough in humanoid robots may still be roughly 10 years away, pointing to unresolved challenges in AI adaptability. This tempers broader industry optimism that progress will come much sooner. Source: chosun.com
Generalist AI has launched GEN-1.5, a robot foundation model capable of learning physical tasks from a single demonstration or just a handful of examples. The release aims to make robots far quicker to train for new real-world tasks. Source: theaiinsider.tech
Companies developing humanoid robots are betting on real-world work videos to teach machines everyday tasks. This training approach aims to bridge the gap between flashy demos and robots that can reliably function in homes and workplaces. Source: reason.com
Companies developing humanoid robot assistants face the challenge of teaching them real-world tasks. To train the new generation of machines, developers are turning to footage of people performing everyday work. Source: reason.com
China is developing a more cost-efficient path to embodied AI, which could inspire tech communities across the developing world by lowering barriers to innovation. Rather than chasing ever-larger models, the approach favors efficiency and accessibility. Source: scmp.com
During a visit to Generalist AI, a robotic arm was seen improvising with everyday objects, even using a banana as a makeshift tool. The demo hints at how adaptive, real-time learning could reshape robotics. Source: wired.com
Humanoid robots are still far from widespread use, but Unitree's CEO believes a key AI breakthrough for the sector could arrive within two to three years. Source: jpost.com
Shares of the Chinese robotics firm Unitree surged 460% on their first trading day, underscoring the intensity of the global AI boom. The debut also highlights the growing tech rivalry between Beijing and Washington. Source: nbcnews.com