Robotics is entering a new phase where general-purpose learning matters as much as mechanical design. Instead of programming ...

AI can help develop methods of locomotion that are unconventional but fast AI can help develop methods of locomotion that are unconventional but fast is a senior reporter who has covered AI, robotics, ...

Deepreinforcement learning has disadvantages such as low sample utilization and slow convergence, and thousandsof trial-and-error iterations are required to perform ...

A quadruped robot has learned to walk across slippery, uneven terrain entirely through simulation, ...

The companies have jointly developed an AI robot control system that can interact with the physical world and be used in various fields from logistics to rescue operations. Tests have shown that in ...

FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.

A quadruped robot uses deep reinforcement learning to master walking on varied terrains, demonstrating energy-efficient and ...

Boasting a sophisticated design tailored for versatile mobility, Cassie demonstrates remarkable agility as it effortlessly navigates quarter-mile runs and performs impressive long jumps without ...

Breakthroughs, discoveries, and DIY tips sent six days a week. Terms of Service and Privacy Policy. Researchers are training robots to perform an ever-growing number ...