Fetching the paper…
Reading the bibliography…
Multiphysics phenomena, the coupling effects involving different aspects of physics laws, are pervasive in the real world and can often be encountered when performing everyday household tasks.
ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks
Mohit Shridhar, Jesse Thomason, Daniel Gordon, Yonatan Bisk, Winson Han, Roozbeh Mottaghi, Luke Zettlemoyer, and Dieter Fox · 1912
Earlier work this paper cites.
Introduction to comsol multiphysics®
COMSOL Multiphysics · 1998
Earlier work this paper cites.
Open dynamics engine, 2008
Russell Smith · 2008
Earlier work this paper cites.
ABAQUS/Standard User’s Manual, Version 6.9
Michael Smith · 2009
Earlier work this paper cites.
SOFA: A Multi-Model Framework for Interactive Physical Simulation
François Faure, Christian Duriez, Hervé Delingette, Jérémie Allard, Benjamin Gilles, Stéphanie Marchesseau, Hugo Talbot, Hadrien Courtecuisse, Guillaume Bousquet, Igor Peterlik, and Stéphane Cotin · 2012
Earlier work this paper cites.
Mujoco: A physics engine for model-based control
Emanuel Todorov, Tom Erez, and Yuval Tassa · 2012
Earlier work this paper cites.
Reducing the barrier to entry of complex robotic software: a moveit! case study
David Coleman, Ioan Sucan, Sachin Chitta, and Nikolaus Correll · 2014
Earlier work this paper cites.
Fast sph simulation for gaseous fluids
Bo Ren, Xiao Yan, Tao Yang, Chen-feng Li, Ming C Lin, and Shi-min Hu · 2016
Earlier work this paper cites.
Chrono: An open source multi-physics dynamics engine
A. Tasora, R. Serban, H. Mazhar, A. Pazouki, D. Melanz, J. Fleischmann, M. Taylor, H. Sugiyama, and D. Negrut · 2016
Earlier work this paper cites.
Marcin Andrychowicz, Filip Wolski, Alex Ray, Jonas Schneider, Rachel Fong, Peter Welinder, Bob McGrew, Josh Tobin, Pieter Abbeel, and Wojciech Zaremba · 2017
Earlier work this paper cites.
HoME: a Household Multimodal Environment
Simon Brodeur, Ethan Perez, Ankesh Anand, Florian Golemo, Luca Celotti, Florian Strub, Jean Rouat, Hugo Larochelle, and Aaron Courville · 2017
Earlier work this paper cites.
AI2-THOR: An Interactive 3D Environment for Visual AI
Eric Kolve, Roozbeh Mottaghi, Winson Han, Eli VanderBilt, Luca Weihs, Alvaro Herrasti, Daniel Gordon, Yuke Zhu, Abhinav Gupta, and Ali Farhadi · 2017
Earlier work this paper cites.
Proximal policy optimization algorithms
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov · 2017
Earlier work this paper cites.
Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor
Tuomas Haarnoja, Aurick Zhou, Pieter Abbeel, and Sergey Levine · 2018
Earlier work this paper cites.
Unity: A general platform for intelligent agents
Arthur Juliani, Vincent-Pierre Berges, Ervin Teng, Andrew Cohen, Jonathan Harper, Chris Elion, Chris Goy, Yuan Gao, Hunter Henry, Marwan Mattar, et al · 2018
Earlier work this paper cites.
Gpu-accelerated robotic simulation for distributed reinforcement learning, 2018
Jacky Liang, Viktor Makoviychuk, Ankur Handa, Nuttapong Chentanez, Miles Macklin, and Dieter Fox · 2018
Earlier work this paper cites.
Virtualhome: Simulating household activities via programs
Xavier Puig, Kevin Ra, Marko Boben, Jiaman Li, Tingwu Wang, Sanja Fidler, and Antonio Torralba · 2018
Cited alongside, same era.
3d shape perception from monocular vision, touch, and shape priors
Shaoxiong Wang, Jiajun Wu, Xingyuan Sun, Wenzhen Yuan, William T Freeman, Joshua B Tenenbaum, and Edward H Adelson · 2018
Cited alongside, same era.
Gibson env: Real-world perception for embodied agents
Fei Xia, Amir R. Zamir, Zhiyang He, Alexander Sax, Jitendra Malik, and Silvio Savarese · 2018
Cited alongside, same era.
Vrkitchen: an interactive 3d virtual environment for task-oriented learning
Xiaofeng Gao, Ran Gong, Tianmin Shu, Xu Xie, Shu Wang, and Song-Chun Zhu · 2019
Cited alongside, same era.
Habitat: A Platform for Embodied AI Research
Manolis Savva*, Abhishek Kadian*, Oleksandr Maksymets*, Yili Zhao, Erik Wijmans, Bhavana Jain, Julian Straub, Jia Liu, Vladlen Koltun, Jitendra Malik, Devi Parikh, and Dhruv Batra · 2019
Cited alongside, same era.
ManipulaTHOR: A Framework for Visual Object Manipulation
Kiana Ehsani, Winson Han, Alvaro Herrasti, Eli VanderBilt, Luca Weihs, Eric Kolve, Aniruddha Kembhavi, and Roozbeh Mottaghi · 2021
Later among the works it cites.
The threedworld transport challenge: A visually guided task-and-motion planning benchmark for physically realistic embodied ai, 2021
Chuang Gan, Siyuan Zhou, Jeremy Schwartz, Seth Alter, Abhishek Bhandwaldar, Dan Gutfreund, Daniel L. K. Yamins, James J DiCarlo, Josh McDermott, Antonio Torralba, and Joshua B. Tenenbaum · 2021
Later among the works it cites.
igibson 2.0: Object-centric simulation for robot learning of everyday household tasks, 2021
Chengshu Li, Fei Xia, Roberto Martín-Martín, Michael Lingelbach, Sanjana Srivastava, Bokui Shen, Kent Vainio, Cem Gokmen, Gokul Dharan, Tanish Jain, Andrey Kurenkov, C. Karen Liu, Hyowon Gweon, Jiajun Wu, Li Fei-Fei, and Silvio Savarese · 2021
Later among the works it cites.
Isaac gym: High performance gpu-based physics simulation for robot learning, 2021
Viktor Makoviychuk, Lukasz Wawrzyniak, Yunrong Guo, Michelle Lu, Kier Storey, Miles Macklin, David Hoeller, Nikita Rudin, Arthur Allshire, Ankur Handa, and Gavriel State · 2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala · 2019
Cited alongside, same era.
URL https://www.algoryx.se/agx-dynamics/
Agx dynamics, Aug 2020 · 2020
Cited alongside, same era.
RoboTHOR: An Open Simulation-to-Real Embodied AI Platform
Matt Deitke, Winson Han, Alvaro Herrasti, Aniruddha Kembhavi, Eric Kolve, Roozbeh Mottaghi, Jordi Salvador, Dustin Schwenk, Eli VanderBilt, Matthew Wallingford, Luca Weihs, Mark Yatskar, and Ali Farhadi · 2020
Cited alongside, same era.
Threedworld: A platform for interactive multi-modal physical simulation, 2020
Chuang Gan, Jeremy Schwartz, Seth Alter, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Damian Mrowca, Michael Lingelbach, Aidan Curtis, Kevin Feigelis, Daniel M. Bear, Dan Gutfreund, David Cox, James J. DiCarlo, Josh McDermott, Joshua B. Tenenbaum, and Daniel L. K. Yamins · 2020
Cited alongside, same era.
Digit: A novel design for a low-cost compact high-resolution tactile sensor with application to in-hand manipulation
Mike Lambeta, Po-Wei Chou, Stephen Tian, Brian Yang, Benjamin Maloon, Victoria Rose Most, Dave Stroud, Raymond Santos, Ahmad Byagowi, Gregg Kammerer, et al · 2020
Cited alongside, same era.
igibson, a simulation environment for interactive tasks in large realistic scenes
Bokui Shen, Fei Xia, Chengshu Li, Roberto Martın-Martın, Linxi Fan, Guanzhi Wang, Shyamal Buch, Claudia D’Arpino, Sanjana Srivastava, Lyne P Tchapmi, Kent Vainio, Li Fei-Fei, and Silvio Savarese · 2020
Cited alongside, same era.
3d shape reconstruction from vision and touch
Edward Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, and Michal Drozdzal · 2020
Cited alongside, same era.
Laura Downs, Anthony Francis, Nate Koenig, Brandon Kinman, Ryan Hickman, Krista Reymann, Thomas B McHugh, and Vincent Vanhoucke · 2022
Closest in time.
3d contact point cloud reconstruction from vision-based tactile flow
Yipai Du, Guanlan Zhang, and Michael Yu Wang · 2022
Closest in time.
Behavior-1k: A benchmark for embodied ai with 1,000 everyday activities and realistic simulation
Chengshu Li, Ruohan Zhang, Josiah Wong, Cem Gokmen, Sanjana Srivastava, Roberto Martín-Martín, Chen Wang, Gabrael Levine, Michael Lingelbach, Jiankai Sun, et al · 2022
Closest in time.
2.0 - MOOSE: Enabling massively parallel multiphysics simulation
Alexander D. Lindsay, Derek R. Gaston, Cody J. Permann, Jason M. Miller, David Andrš, Andrew E. Slaughter, Fande Kong, Joshua Hansel, Robert W. Carlsen, Casey Icenhour, Logan Harbour, Guillaume L. Giudicelli, Roy H. Stogner, Peter German, Jacob Badger, Sudipta Biswas, Leora Chapuis, Christopher Green, Jason Hales, Tianchen Hu, Wen Jiang, Yeon Sang Jung, Christopher Matthews, Yinbin Miao, April Novak, John W. Peterson, Zachary M. Prince, Andrea Rovinelli, Sebastian Schunert, Daniel Schwen, Benjamin W. Spencer, Swetha Veeraraghavan, Antonio Recuero, Dewen Yushu, Yaqi Wang, Andy Wilkins, and Christopher Wong · 2022
Closest in time.
Akb-48: A real-world articulated object knowledge base
Liu Liu, Wenqiang Xu, Haoyuan Fu, Sucheng Qian, Yang Han, and Cewu Lu · 2022
Closest in time.
Patchgraph: In-hand tactile tracking with learned surface normals
Paloma Sodhi, Michael Kaess, Mustafa Mukadanr, and Stuart Anderson · 2022
Closest in time.
Shapemap 3-d: Efficient shape mapping through dense touch and vision
Sudharshan Suresh, Zilin Si, Joshua G Mangelson, Wenzhen Yuan, and Michael Kaess · 2022
Closest in time.
Tacto: A fast, flexible, and open-source simulator for high-resolution vision-based tactile sensors
Shaoxiong Wang, Mike Lambeta, Po-Wei Chou, and Roberto Calandra · 2022
Closest in time.
Masked visual pre-training for motor control
Tete Xiao, Ilija Radosavovic, Trevor Darrell, and Jitendra Malik · 2022
Closest in time.
Rcareworld: A human-centric simulation world for caregiving robots
Ruolin Ye, Wenqiang Xu, Haoyuan Fu, Rajat Kumar Jenamani, Vy Nguyen, Cewu Lu, Katherine Dimitropoulou, and Tapomayukh Bhattacharjee · 2022
Closest in time.
Close the visual domain gap by physics-grounded active stereovision depth sensor simulation
Xiaoshuai Zhang, Rui Chen, Fanbo Xiang, Yuzhe Qin, Jiayuan Gu, Zhan Ling, Minghua Liu, Peiyu Zeng, Songfang Han, Zhiao Huang, Tongzhou Mu, Jing Xu, and Hao Su · 2022
Closest in time.