Barclays estimates that the humanoid robot industry will generate $200 billion in revenue by 2035.

What happens when you give AI coding agents a lab full of robotic arms, some compute resources, and a “generous token budget” for teaching the robots various tasks? The agents can apparently figure out a training regimen that teaches the robots to successfully cut zip ties and even insert GPUs into thin sockets on motherboards.

Three AI coding agents, including Claude Code and Codex, trained on real hardware, achieving 99% success on tasks like GPU installation and pin sorting.

Agility Robotics Inc., a leading humanoid robotics and physical AI company, became the first to use Nvidia Halos to build safety into its robots working in factories and warehouses for customers including Amazon.com Inc., GXO, Schaeffler and Toyota Motor Manufacturing Canada.

Nvidia has released ENPIRE, a framework that lets AI coding agents run the full loop of teaching robots new skills with no human supervision.

NVIDIA said Halos connects AI compute, system software, sensor data, safety applications, and inspection for robotic systems.

PSYONIC turns its FDA-cleared bionic hand into a data engine, feeding ABB and NVIDIA robots the human dexterity data physical AI has lacked for the warehouse age.

Nvidia has entered the humanoid robotics race. Through a partnership with Chinese startup Unitree, the U.S. chipmaker is developing a robotics system with an integrated reference design focused on academic research. The idea is to help research teams ...