Mobile Car Projects
AMP for Go1
Impletion of the Asymmetric Proximal Policy Optimization (APPO) algorithm to train a quadruped robot (Go1) for agile locomotion tasks. And deploy the trained policy in mujoco(sim2sim) and real robot(sim2real).
[Code]
1. Sim2Sim
2. Sim2Real
Locomotion in Unstructured Outdoor Environment
Impletion of the Asymmetric Proximal Policy Optimization (APPO) algorithm to train a quadruped robot (Go1) for agile locomotion tasks. And deploy the trained policy in mujoco(sim2sim) and real robot(sim2real).
[Code]