Intersection-Free Robot Manipulation With Soft-Rigid Coupled Incremental Potential Contact

Abstract

This paper presents a novel simulation platform, ZeMa, designed for robotic manipulation tasks concerning soft objects. Such simulation ideally requires three properties: two-way soft-rigid coupling, intersection-free guarantee, and frictional contact modeling, with acceptable runtime suitable for learning tasks. Current simulators often satisfy only a subset of these needs, primarily focusing on distinct rigid-rigid or soft-soft interactions. The proposed ZeMa prioritizes physical accuracy and integrates the incremental potential contact method, offering unified dynamics simulation for both soft and rigid objects. It efficiently manages soft-rigid contact, operating 75x faster than baseline tools with similar methodologies like IPC-GraspSim. We have conducted extensive experiments to prove the accuracy, especially on the frictional contact. To demonstrate its applicability, we employ it for parallel grasp generation and penetrated grasp repair.