Shang Wen Yao

DiffSRL: Learning Dynamical State Representation for Deformable Object Manipulation With Differentiable Simulation

Dynamic state representation learning is essential for robot learning. Good latent space that can accurately describe dynamic transition and constraints can significantly accelerate reinforcement learning training as well as reduce motion planning complexity. However, deformable object have very com