Scalable Differentiable Physics for Learning and Control

4 July 2020

Papers citing "Scalable Differentiable Physics for Learning and Control"

30 / 30 papers shown

Title
Gradient-based Trajectory Optimization with Parallelized Differentiable Traffic Simulation Sanghyun Son L. Zheng Brian Clipp Connor Greenwell Sujin Philip Ming-Chyuan Lin 74 0 0 21 Dec 2024
Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation Eliot Xing Vernon Luk Jean Oh 84 0 0 16 Dec 2024
Incremental Few-Shot Adaptation for Non-Prehensile Object Manipulation using Parallelizable Physics Simulators Fabian Baumeister Lukas Mack Joerg Stueckler 34 2 0 20 Sep 2024
Shadow Program Inversion with Differentiable Planning: A Framework for Unified Robot Program Parameter and Trajectory Optimization Benjamin Alt Claudius Kienle Darko Katic Rainer Jäkel Michael Beetz 49 1 0 13 Sep 2024
Unfolding the Literature: A Review of Robotic Cloth Manipulation A. Longhini Yufei Wang Irene Garcia-Camacho David Blanco-Mulero Marco Moletta ... Hang Yin Zackory M. Erickson David Held J´ulia Borras Danica Kragic AI4CE 36 11 0 01 Jul 2024
Implicit Neural Representation for Physics-driven Actuated Soft Bodies Lingchen Yang Byungsoo Kim Gaspard Zoss Baran Gözcü Markus Gross B. Solenthaler AI4CE 3DH 23 19 0 26 Jan 2024
Differentiable Visual Computing for Inverse Problems and Machine Learning Andrew Spielberg Fangcheng Zhong Konstantinos Rematas Krishna Murthy Jatavallabhula Cengiz Öztireli Tzu-Mao Li Derek Nowrouzezahrai 38 7 0 21 Nov 2023
System Identification and Control of Front-Steered Ackermann Vehicles through Differentiable Physics B. M. Gonultas Pratik Mukherjee O. G. Poyrazoglu Volkan Isler 8 3 0 07 Aug 2023
Addressing Discontinuous Root-Finding for Subsequent Differentiability in Machine Learning, Inverse Problems, and Control Dan Johnson Ronald Fedkiw AI4CE 21 2 0 21 Jun 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
SPONGE: Sequence Planning with Deformable-ON-Rigid Contact Prediction from Geometric Features Tran Minh Son Le Fares J. Abu-Dakka Ville Kyrki 33 1 0 24 Mar 2023
Differentiable Analog Quantum Computing for Optimization and Control Jiaqi Leng Yuxiang Peng Yi-Ling Qiao Ming-Chyuan Lin Xiaodi Wu 14 15 0 28 Oct 2022
SAM-RL: Sensing-Aware Model-Based Reinforcement Learning via Differentiable Physics-Based Simulation and Rendering Jun Lv Yunhai Feng Cheng Zhang Shu Zhao Lin Shao Cewu Lu 16 24 0 27 Oct 2022
Differentiable Hybrid Traffic Simulation Sanghyun Son Yi-Ling Qiao J. Sewall Ming-Chyuan Lin 17 11 0 14 Oct 2022
Transformer with Implicit Edges for Particle-based Physics Simulation Yidi Shao Chen Change Loy Bo Dai 16 15 0 22 Jul 2022
Imitation Learning via Differentiable Physics Siwei Chen Xiao Ma Zhongwen Xu PINN AI4CE 19 4 0 10 Jun 2022
Differentiable solver for time-dependent deformation problems with contact Zizhou Huang Davi C. Tozoni Arvi Gjoka Z. Ferguson T. Schneider Daniele Panozzo Denis Zorin AI4CE 23 18 0 26 May 2022
Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics Sizhe Li Zhiao Huang Tao Du Hao Su J. Tenenbaum Chuang Gan 17 26 0 05 May 2022
DiffCloud: Real-to-Sim from Point Clouds with Differentiable Simulation and Rendering of Deformable Objects Priya Sundaresan Rika Antonova Jeannette Bohg 3DPC 37 34 0 07 Apr 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 24 72 0 31 Mar 2022
DiffSDFSim: Differentiable Rigid-Body Dynamics With Implicit Shapes Michael Strecke Joerg Stueckler AI4CE 19 18 0 30 Nov 2021
SAGCI-System: Towards Sample-Efficient, Generalizable, Compositional, and Incremental Robot Learning Jun Lv Qiaojun Yu Lin Shao Wenhai Liu Wenqiang Xu Cewu Lu 27 24 0 29 Nov 2021
A global convergence theory for deep ReLU implicit networks via over-parameterization Tianxiang Gao Hailiang Liu Jia Liu Hridesh Rajan Hongyang Gao MLT 23 16 0 11 Oct 2021
Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation Eric Heiden Chris Denniston David Millard Fabio Ramos Gaurav Sukhatme 27 21 0 18 Sep 2021
An End-to-End Differentiable Framework for Contact-Aware Robot Design Jie Xu Tao Chen Lara Zlokapa Michael Foshey Wojciech Matusik Shinjiro Sueda Pulkit Agrawal 8 88 0 15 Jul 2021
LCollision: Fast Generation of Collision-Free Human Poses using Learned Non-Penetration Constraints Qingyang Tan Zherong Pan Dinesh Manocha 3DH 30 10 0 06 Nov 2020
Multiscale Deep Equilibrium Models Shaojie Bai V. Koltun J. Zico Kolter BDL 38 211 0 15 Jun 2020
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 278 1,400 0 01 Dec 2016