The architecture employs two loops: an outer loop using GPT-4 for refining the reward function, and an inner loop for reinforcement learning to train the robot's control system.

Trained entirely in simulation using advanced reinforcement learning, the Tesla Bot demonstrates the company’s cutting-edge progress in AI and robotics, capable of translating digital training ...

ETH Zurich researchers have trained their quadruped robot ANYmal to pick up a ball and throw it across a field, demonstrating manipulation skills beyond simple walking or running.

Reinforcement learning techniques could be the keys to integrating robots — who use machine learning to output more than words — into the real world.

Bi-Touch: Bimanual Tactile Manipulation With Sim-to-Real Deep Reinforcement Learning. IEEE Robotics and Automation Letters , 2023; 8 (9): 5472 DOI: 10.1109/LRA.2023.3295991 Cite This Page : ...

A team of researchers from NVIDIA, ETH Zurich, and the University of Toronto open-sourced Orbit, a simulation-based robot learning framework. Orbit includes wrappers for four learning libraries, a sui ...

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 ...