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.
翻译:我们引入了以递增潜在接触模式为基础的机器人模拟框架Midas。我们的模拟器保证了摩擦接触的交叉、稳定、准确的解析。我们通过对高精度任务进行实验性鉴定并通过与子弹物理的比较,展示了我们框架的功效。我们还开发并测试了使用Midas的强化学习管道,以完成交叉无钉洞任务。