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 ...

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

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 ...

How do machines learn to walk, drive cars or chat like humans? These advances rely on a range of artificial intelligence techniques, including reinforcement learning, a branch of AI inspired by the ...

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 ...

The age of robots is upon us. The machines of our sci-fi dreams may not be everywhere – yet – but you don’t have to look too ...

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, ...