Jade: A Differentiable Physics Engine for Articulated Rigid Bodies with Intersection-Free Frictional Contact
September 09, 2023 Β· Declared Dead Β· π IEEE International Conference on Robotics and Automation
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Authors
Gang Yang, Siyuan Luo, Lin Shao
arXiv ID
2309.04710
Category
cs.RO: Robotics
Cross-listed
cs.AI,
cs.CV,
cs.GR,
eess.SY
Citations
9
Venue
IEEE International Conference on Robotics and Automation
Last Checked
4 months ago
Abstract
We present Jade, a differentiable physics engine for articulated rigid bodies. Jade models contacts as the Linear Complementarity Problem (LCP). Compared to existing differentiable simulations, Jade offers features including intersection-free collision simulation and stable LCP solutions for multiple frictional contacts. We use continuous collision detection to detect the time of impact and adopt the backtracking strategy to prevent intersection between bodies with complex geometry shapes. We derive the gradient calculation to ensure the whole simulation process is differentiable under the backtracking mechanism. We modify the popular Dantzig algorithm to get valid solutions under multiple frictional contacts. We conduct extensive experiments to demonstrate the effectiveness of our differentiable physics simulation over a variety of contact-rich tasks.
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