Efficient Differentiable Simulation of Articulated Bodies

Efficient Differentiable Simulation of Articulated Bodies

16 September 2021

Papers citing "Efficient Differentiable Simulation of Articulated Bodies"

14 / 14 papers shown

Title
Prof. Robot: Differentiable Robot Rendering Without Static and Self-Collisions Quanyuan Ruan Jiabao Lei Wenhao Yuan Y. Zhang Dekun Lu Guiliang Liu Kui Jia 59 0 0 14 Mar 2025
Gradient-based Trajectory Optimization with Parallelized Differentiable Traffic Simulation Sanghyun Son L. Zheng Brian Clipp Connor Greenwell Sujin Philip Ming-Chyuan Lin 63 0 0 21 Dec 2024
Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation Eliot Xing Vernon Luk Jean Oh 82 0 0 16 Dec 2024
Gradient Informed Proximal Policy Optimization Sanghyun Son L. Zheng Ryan Sullivan Yi-Ling Qiao Ming-Chyuan Lin 28 7 0 14 Dec 2023
Improving Gradient Computation for Differentiable Physics Simulation with Contacts Yaofeng Desmond Zhong Jiequn Han Biswadip Dey Georgia Olympia Brikis 22 3 0 28 Apr 2023
Differentiable Hybrid Traffic Simulation Sanghyun Son Yi-Ling Qiao J. Sewall Ming-Chyuan Lin 14 11 0 14 Oct 2022
Learning Object Manipulation Skills from Video via Approximate Differentiable Physics Vladimir Petrik M. N. Qureshi Josef Sivic Makarand Tapaswi 20 9 0 03 Aug 2022
DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools Xingyu Lin Zhiao Huang Yunzhu Li J. Tenenbaum David Held Chuang Gan 20 72 0 31 Mar 2022
Differentiable Robotic Manipulation of Deformable Rope-like Objects Using Compliant Position-based Dynamics Fei Liu Entong Su Jingpei Lu Ming Li Michael C. Yip AI4CE 11 8 0 20 Feb 2022
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 121 419 0 10 Mar 2020
Symplectic Recurrent Neural Networks Zhengdao Chen Jianyu Zhang Martín Arjovsky Léon Bottou 139 219 0 29 Sep 2019
SPNets: Differentiable Fluid Dynamics for Deep Neural Networks Connor Schenck D. Fox PINN 3DPC AI4CE 165 161 0 15 Jun 2018
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 236 438 0 01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 258 1,398 0 01 Dec 2016