2025
Offline Reinforcement Learning with Koopman Operators for Control of Soft Robots
IROS 2025
Soft robots are promising to offer flexibility in environmental interaction tasks through compliant deformations. However, the infinite degrees of freedom and high nonlinearity of dynamics pose significant challenges in dynamic modeling and control in soft robots. While online reinforcement learning