埋め込みIPC：ロボットマニピュレーションのための縮小部分空間における高速で交差のないシミュレーション
Embedded IPC: Fast and Intersection-free Simulation in Reduced Subspace for Robot Manipulation
変形物体の接触を含むロボット操作シミュレーションを高速化するため、IPC法を低次元部分空間で表現しつつ高解像度表面で衝突制約を維持する手法を提案。
著者: Wenxin Du, Chang Yu, Siyu Ma, Ying Jiang, Zeshun Zong, Yin Yang, Joe Masterjohn, Alejandro Castro, Xuchen Han, Chenfanfu Jiang
分類: cs.RO
原文アブストラクト
Physics-based simulation is essential for developing and evaluating robot manipulation policies, particularly in scenarios involving deformable objects and complex contact interactions. However, existing simulators often struggle to balance computational efficiency with numerical accuracy, especially when modeling deformable materials with frictional contact constraints. We introduce an efficient subspace representation for the Incremental Potential Contact (IPC) method, leveraging model reduction to decrease the number of degrees of freedom. Our approach decouples simulation complexity from the resolution of the input model by representing elasticity in a low-resolution subspace while maintaining collision constraints on an embedded high-resolution surface. Our barrier formulation ensures intersection-free trajectories and configurations regardless of material stiffness, time step size, or contact severity. We validate our simulator through quantitative experiments with a soft bubble gripper grasping and qualitative demonstrations of placing a plate on a dish rack. The results demonstrate our simulator's efficiency, physical accuracy, computational stability, and robust handling of frictional contact, making it well-suited for generating demonstration data and evaluating downstream robot training applications.
