This multi-objective setup encourages natural walking behavior rather than rigid or inefficient movement. A four-stage ...

Training a robot in a simulation that allows it to remember how to get out of sticky situations lets it traverse difficult terrain more smoothly in real life. Joonho Lee at ETH Zurich in Switzerland ...

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

Overview Python remains one of the most widely used languages in robotics, thanks to its readability, extensive libraries, ...

Genie Sim 3.0 draws from more than 10,000 hours of synthetic dataset, including real-world robot operation scenarios.