Non-Smooth Newton Methods for Deformable Multi-Body Dynamics
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Abstract (arXiv)
We present a framework for the simulation of rigid and deformable bodies in the presence of contact and friction. Our method is based on a non-smooth Newton iteration that solves the underlying nonlinear complementarity problems (NCPs) directly. This approach allows us to support nonlinear dynamics models, including hyperelastic deformable bodies and articulated rigid mechanisms, coupled through a smooth isotropic friction model. The fixed-point nature of our method means it requires only the solution of a symmetric linear system as a building block. We propose a new complementarity preconditioner for NCP functions that improves convergence, and we develop an efficient GPU-based solver based on the conjugate residual (CR) method that is suitable for interactive simulations. We show how to improve robustness using a new geometric stiffness approximation and evaluate our method's performance on a number of robotics simulation scenarios, including dexterous manipulation and training using reinforcement learning.
Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). First posted on arXiv 10 Jul 2019.
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Citing papers per year: 2021: 2; 2022: 1; 2023: 1; 2024: 1; 2025: 0; 2026: 2.
7 papers.
- 2021Variational Inference MPC using Tsallis Divergencecited by 11
- 2021Learning Visual Shape Control of Novel 3D Deformable Objects from Partial-View Point Cloudscited by 9
- 2022Visual Haptic Reasoning: Estimating Contact Forces by Observing Deformable Object Interactionscited by 5
- 2023DeformerNet: Learning Bimanual Manipulation of 3D Deformable Objectscited by 4
- 2024Higher Replay Ratio Empowers Sample-Efficient Multi-Agent Reinforcement Learningcited by 2
- 2026ODYN: An All-Shifted Non-Interior-Point Method for Quadratic Programming in Robotics and AIcited by 1
- 2026Ostrich: Taking Large Strides Through Stiff Contact in Differentiable Dynamicscited by 0
- 2026Ostrich: Taking Large Strides Through Stiff Contact in Differentiable Dynamics8 Sep 2026
- 2026ODYN: An All-Shifted Non-Interior-Point Method for Quadratic Programming in Robotics and AI17 Feb 2026
- 2024Higher Replay Ratio Empowers Sample-Efficient Multi-Agent Reinforcement Learning15 Apr 2024
- 2023DeformerNet: Learning Bimanual Manipulation of 3D Deformable Objects8 May 2023
- 2022Visual Haptic Reasoning: Estimating Contact Forces by Observing Deformable Object Interactions11 Aug 2022
- 2021Learning Visual Shape Control of Novel 3D Deformable Objects from Partial-View Point Clouds10 Oct 2021
- 2021Variational Inference MPC using Tsallis Divergence1 Apr 2021