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
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