FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation

4 March 2023

Bo Zhu

Antonio Torralba

Chuang Gan

Papers citing "FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation"

22 / 22 papers shown

Title
Real-Time Verification of Embodied Reasoning for Generative Skill Acquisition Bo Yue Shuqi Guo Kaiyu Hu Chujiao Wang Benyou Wang Kui Jia Guiliang Liu LRM 95 0 0 16 May 2025
Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation Eliot Xing Vernon Luk Jean Oh 149 1 0 16 Dec 2024
Differentiable Physics-based System Identification for Robotic Manipulation of Elastoplastic Materials Xintong Yang Ze Ji Yu-Kun Lai 94 0 0 01 Nov 2024
SoftMAC: Differentiable Soft Body Simulation with Forecast-based Contact Model and Two-way Coupling with Articulated Rigid Bodies and Clothes Min Liu Gang Yang Siyuan Luo Lin Shao 74 4 0 06 Dec 2023
Rethinking Optimization with Differentiable Simulation from a Global Perspective Rika Antonova Jingyun Yang Krishna Murthy Jatavallabhula Jeannette Bohg 125 35 0 28 Jun 2022
Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics Sizhe Li Zhiao Huang Tao Du Hao Su J. Tenenbaum Chuang Gan 57 27 0 05 May 2022
JAX-FLUIDS: A fully-differentiable high-order computational fluid dynamics solver for compressible two-phase flows Deniz A. Bezgin Aaron B. Buhendwa Nikolaus A. Adams AI4CE 58 71 0 25 Mar 2022
Self-supervised Transparent Liquid Segmentation for Robotic Pouring G. Narasimhan Kai Zhang Ben Eisner Xingyu Lin David Held 72 17 0 03 Mar 2022
A System for General In-Hand Object Re-Orientation Tao Chen Jie Xu Pulkit Agrawal 114 257 0 04 Nov 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 81 91 0 15 Jul 2021
SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation Xingyu Lin Yufei Wang Jake Olkin David Held 85 218 0 14 Nov 2020
Learning Mesh-Based Simulation with Graph Networks Tobias Pfaff Meire Fortunato Alvaro Sanchez-Gonzalez Peter W. Battaglia AI4CE 82 804 0 07 Oct 2020
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation Chuang Gan Jeremy Schwartz S. Alter Damian Mrowca Martin Schrimpf ... Antonio Torralba J. DiCarlo J. Tenenbaum Josh H. McDermott Daniel L. K. Yamins VGen 147 314 0 09 Jul 2020
SAPIEN: A SimulAted Part-based Interactive ENvironment Fanbo Xiang Yuzhe Qin Kaichun Mo Yikuan Xia Hao Zhu ... He Wang Li Yi Angel X. Chang Leonidas Guibas Hao Su 285 507 0 19 Mar 2020
Learning to Simulate Complex Physics with Graph Networks Alvaro Sanchez-Gonzalez Jonathan Godwin Tobias Pfaff Rex Ying J. Leskovec Peter W. Battaglia PINN AI4CE 145 1,101 0 21 Feb 2020
Learning to Control PDEs with Differentiable Physics Philipp Holl V. Koltun Nils Thuerey AI4CE PINN 75 189 0 21 Jan 2020
Learning to Manipulate Deformable Objects without Demonstrations Yilin Wu Wilson Yan Thanard Kurutach Lerrel Pinto Pieter Abbeel OffRL 72 201 0 29 Oct 2019
DiffTaichi: Differentiable Programming for Physical Simulation Yuanming Hu Luke Anderson Tzu-Mao Li Qi Sun N. Carr Jonathan Ragan-Kelley F. Durand 65 388 0 01 Oct 2019
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids Yunzhu Li Jiajun Wu Russ Tedrake J. Tenenbaum Antonio Torralba PINN AI4CE 82 399 0 03 Oct 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 317 8,406 0 04 Jan 2018
AI2-THOR: An Interactive 3D Environment for Visual AI Eric Kolve Roozbeh Mottaghi Winson Han Eli VanderBilt Luca Weihs ... Daniel Gordon Yuke Zhu Aniruddha Kembhavi Abhinav Gupta Ali Farhadi LM&Ro 84 1,110 0 14 Dec 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 541 19,265 0 20 Jul 2017