Reinforcement learning (RL) for robotics is often associated with large GPU clusters, distributed infrastructure, and x86-based development environments. Training a humanoid robot with high-fidelity ...

What if robots could learn to adapt to their surroundings as effortlessly as humans do? The rise of quadruped robots, like Boston Dynamics’ Spot, is turning this vision into reality. By integrating ...

Teaching a robot new movements in a factory is more expensive than you might think. You have to call in someone who can ...

Reinforcement learning (RL) has emerged as a pivotal approach for enabling mobile robots to autonomously discover collision-free trajectories through repeated interaction with their environment. In ...

Physical AI is enabling robots to operate autonomously in complex, real-world environments by integrating advanced vision-language-action models, onboard computing, and continuous learning techniques.

WASHINGTON, D.C. — A U.S. Naval Research Laboratory (NRL) research team successfully conducted the first reinforcement learning (RL) control of a free-flyer in space on May 27. In just three months, ...

Engineers work at the robotics pilot testing and validation platform of Beijing Innovation Center of Humanoid Robotics (X-Humanoid) in Beijing on March 20, 2026. ADEK BERRY/AFP via Getty Images The ...

Ashish Kumar, Tesla's former Optimus AI lead, co-founded Intelligent Machines to build non-humanoid industrial robots for ...

A robotic revolution for all budgets Humanoid robots are multiplying and evolving at lightning speed, but let’s face it: they ...

In a world where self-driving robotaxis glide through major city streets without drivers behind the wheel and delivery drones autonomously fly through the skies to drop off orders at customers’ homes, ...