Home /Research /Midas: A Multi-Joint Robotics Simulator with Intersection-Free Frictional Contact
LEARNING

Midas: A Multi-Joint Robotics Simulator with Intersection-Free Frictional Contact

Yunuo Chen, Minchen Li, Wenlong Lu, Chuyuan Fu, Chenfanfu Jiang

Year
2022
Citations
3
Access
Open access

Abstract

We introduce Midas, a robotics simulation framework based on the Incremental Potential Contact (IPC) model. Our simulator guarantees intersection-free, stable, and accurate resolution of frictional contact. We demonstrate the efficacy of our framework with experimental validations on high-precision tasks and through comparisons with Bullet physics. A reinforcement learning pipeline using Midas is also developed and tested to perform intersection-free peg-in-hole tasks.

Keywords

Intersection (aeronautics)RoboticsPipeline (software)Artificial intelligenceJoint (building)Computer scienceSimulationReinforcement learningRobotEngineering

Related papers

Browse all LEARNING papers