A5071434961- Muscle activation and electromyography studies
- Reinforcement Learning in Robotics
- Robotic Locomotion and Control
Google (United Kingdom)
2024
DeepMind (United Kingdom)
2024
University College London
2023
We investigated whether deep reinforcement learning (deep RL) is able to synthesize sophisticated and safe movement skills for a low-cost, miniature humanoid robot that can be composed into complex behavioral strategies. used RL train play simplified one-versus-one soccer game. The resulting agent exhibits robust dynamic skills, such as rapid fall recovery, walking, turning, kicking, it transitions between them in smooth efficient manner. It also learned anticipate ball movements block...
We investigate whether Deep Reinforcement Learning (Deep RL) is able to synthesize sophisticated and safe movement skills for a low-cost, miniature humanoid robot that can be composed into complex behavioral strategies in dynamic environments. used RL train with 20 actuated joints play simplified one-versus-one (1v1) soccer game. The resulting agent exhibits robust such as rapid fall recovery, walking, turning, kicking more; it transitions between them smooth, stable, efficient manner....