A team led by Northwestern University’s Sam Kriegman built an AI system that designed a walking robot from scratch in seconds ...

Building a robot that can reliably perceive, plan, and act in the real world is hard—especially when conditions change minute ...

Nvidia used GTC 2026 to unveil new physical AI models, simulation tools, and robotics partnerships aimed at factories, ...

Overview AI robots need both real-world and synthetic data to learn effectively, with tools like simulation and teleoperation ...

NVIDIA is positioning itself at the center of the robotics development ecosystem through multiple partnerships.

Nvidia is so gung-ho about AI agents that it’s betting the buzzy software can power another one of its big bets: robots. The “agentic AI system is being built for digital first,” said Deepu Talla, ...

Nvidia Corp. announced today that it’s partnering with global robotics leaders, including robot “brains” developers, industrial humanoid makers and others to advance the production-scale of physical ...

Universal Robots and Scale AI launch the UR AI Trainer at GTC 2026, a leader-follower system that captures force and visual ...

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Roboticists have struggled to get humanoid robots to effectively replicate athletic sports skills, such as those needed for tennis. These sports require highly dynamic motion, quick reactions, and ...

Hardware costs for humanoid robots are plummeting, but managing a fleet of these autonomous workers will severely test your enterprise IT infrastructure, security, and budget.

Experienced human cyclists can perform a wide range of maneuvers and acrobatics while riding their bicycle, from balancing in ...