2 papers
cs.RO2023
Expanding Versatility of Agile Locomotion through Policy Transitions Using Latent State Representation
Guilherme Christmann, Ying-Sheng Luo, Jonathan Hans Soeseno +1
This paper proposes the transition-net, a robust transition strategy that expands the versatility of robot locomotion in the real-world setting. To this end, we start by distributi…
cs.LG2020
CARL: Controllable Agent with Reinforcement Learning for Quadruped Locomotion
Ying-Sheng Luo, Jonathan Hans Soeseno, Trista Pei-Chun Chen +1
Motion synthesis in a dynamic environment has been a long-standing problem for character animation. Methods using motion capture data tend to scale poorly in complex environments b…