We present a data-driven deep reinforcement learning (DRL) method for the optimization of a hierarchically structured control policy that includes the central pattern generator. This method, which is ...

Robots with increasingly precise dexterity are becoming essential in everyday life and industrial settings, from assembling tiny smartphone components to assisting doctors in surgery. However, ...

AI’s next wave is physical. The winners will turn real-world data into reliable, safe machines that can work outside the demo ...

Engineers have watched industrial robots master automated welding seams and pallet stacking for decades.

Imagine a world where robots don’t just follow pre-programmed instructions but actually learn and adapt like living beings. The integration of IntuiCell technology into the Luna robot dog represents a ...

Quadrupedal robots have the potential to execute tasks in challenging and hazardous environments, such as mountains and underground tunnels. The prerequisite for executing such tasks is the locomotion ...

Figure AI has developed a new humanoid robotic natural walking capability for its humanoid robots, leveraging reinforcement learning (RL) and simulation-based training. This approach enables the ...

Robots are increasingly expected to operate beyond structured laboratories, where they must interpret incomplete sensory ...

Engineers and computer scientists are developing AI-powered robots that look and act human. Boston Dynamics invited 60 ...

Robots are no longer limited to carefully controlled lab settings. They’re sorting packages, navigating warehouses, assisting on factory floors and supporting a growing range of business operations, ...

A four-legged robot now walks like a living, breathing creature—no rehearsals, no manual tweaks. Researchers at the University of Leeds designed it to move, react, and adapt entirely on its own.