Efficient Differentiable Simulation of Articulated Bodies

16 September 2021

Papers citing "Efficient Differentiable Simulation of Articulated Bodies"

20 / 20 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 70 0 0 14 Mar 2025
An Real-Sim-Real (RSR) Loop Framework for Generalizable Robotic Policy Transfer with Differentiable Simulation Lu Shi Y. Xu Shiyu Wang Jinhao Huang Wenhao Zhao Yufei Jia Zike Yan Weibin Gu Guyue Zhou 62 0 0 13 Mar 2025
Gradient-based Trajectory Optimization with Parallelized Differentiable Traffic Simulation Sanghyun Son L. Zheng Brian Clipp Connor Greenwell Sujin Philip Ming-Chyuan Lin 80 0 0 21 Dec 2024
Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation Eliot Xing Vernon Luk Jean Oh 84 0 0 16 Dec 2024
Gradient Informed Proximal Policy Optimization Sanghyun Son L. Zheng Ryan Sullivan Yi-Ling Qiao Ming-Chyuan Lin 32 7 0 14 Dec 2023
Improving Gradient Computation for Differentiable Physics Simulation with Contacts Yaofeng Desmond Zhong Jiequn Han Biswadip Dey Georgia Olympia Brikis 33 3 0 28 Apr 2023
Differentiable Analog Quantum Computing for Optimization and Control Jiaqi Leng Yuxiang Peng Yi-Ling Qiao Ming-Chyuan Lin Xiaodi Wu 22 15 0 28 Oct 2022
Differentiable Hybrid Traffic Simulation Sanghyun Son Yi-Ling Qiao J. Sewall Ming-Chyuan Lin 19 11 0 14 Oct 2022
Traffic-Aware Autonomous Driving with Differentiable Traffic Simulation L. Zheng Sanghyun Son Ming-Chyuan Lin 27 3 0 07 Oct 2022
Grasp'D: Differentiable Contact-rich Grasp Synthesis for Multi-fingered Hands Dylan Turpin Liquang Wang Eric Heiden Yun-Chun Chen Miles Macklin Stavros Tsogkas Sven J. Dickinson Animesh Garg 13 67 0 25 Aug 2022
Learning Object Manipulation Skills from Video via Approximate Differentiable Physics Vladimir Petrik M. N. Qureshi Josef Sivic Makarand Tapaswi 35 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 27 72 0 31 Mar 2022
Leveraging Reward Gradients For Reinforcement Learning in Differentiable Physics Simulations Sean Gillen Katie Byl AI4CE 16 3 0 06 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 21 8 0 20 Feb 2022
Parameter Identification and Motion Control for Articulated Rigid Body Robots Using Differentiable Position-based Dynamics Fei Liu Ming Li Jingpei Lu Entong Su Michael C. Yip AI4CE 19 6 0 15 Jan 2022
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 130 424 0 10 Mar 2020
Symplectic Recurrent Neural Networks Zhengdao Chen Jianyu Zhang Martín Arjovsky Léon Bottou 146 219 0 29 Sep 2019
SPNets: Differentiable Fluid Dynamics for Deep Neural Networks Connor Schenck D. Fox PINN 3DPC AI4CE 172 161 0 15 Jun 2018
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 241 438 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 280 1,400 0 01 Dec 2016