Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing (web) (bibtex)
Anurag Ajay, Jiajun Wu, Nima Fazeli, Maria Bauza, Leslie P. Kaelbling, Joshua B. Tenenbaum, Alberto Rodriguez: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) #dynamics modeling, #deep learning, #robotics
@article{AnuragAjay:2018:2ddc2,
author = {Anurag Ajay and Jiajun Wu and Nima Fazeli and Maria Bauza and Leslie P. Kaelbling and Joshua B. Tenenbaum and Alberto Rodriguez},
journal = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
title = {Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing},
year = {2018},
keywords = {dynamics modeling, deep learning, robotics},
doi = {},
url = {http://physplus.csail.mit.edu}
}
Combining Physical Simulators and Object-Based Networks for Control (web) (bibtex)
Anurag Ajay, Maria Bauza, Jiajun Wu, Nima Fazeli, Joshua B. Tenenbaum, Alberto Rodriguez, Leslie P. Kaelbling: IEEE International Conference on Robotics and Automation (ICRA) #dynamics modeling, #deep learning, #robotics
@article{AnuragAjay:2019:95128,
author = {Anurag Ajay and Maria Bauza and Jiajun Wu and Nima Fazeli and Joshua B. Tenenbaum and Alberto Rodriguez and Leslie P. Kaelbling},
journal = {IEEE International Conference on Robotics and Automation (ICRA)},
title = {Combining Physical Simulators and Object-Based Networks for Control},
year = {2019},
keywords = {dynamics modeling, deep learning, robotics},
doi = {},
url = {http://sain.csail.mit.edu/}
}
Propagation Networks for Model-Based Control Under Partial Observation (web) (bibtex)
Yunzhu Li, Jiajun Wu, Jun-Yan Zhu, Antonio Torralba, Joshua B. Tenenbaum, Russ Tedrake: IEEE International Conference on Robotics and Automation (ICRA) #dynamics modeling, #deep learning, #robotics
@article{YunzhuLi:2019:dfe34,
author = {Yunzhu Li and Jiajun Wu and Jun-Yan Zhu and Antonio Torralba and Joshua B. Tenenbaum and Russ Tedrake},
journal = {IEEE International Conference on Robotics and Automation (ICRA)},
title = {Propagation Networks for Model-Based Control Under Partial Observation},
year = {2019},
keywords = {dynamics modeling, deep learning, robotics},
doi = {},
url = {http://propnet.csail.mit.edu/}
}
ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics (web) (bibtex)
Yuanming Hu, Jiancheng Liu, Andrew Spielberg, Joshua B. Tenenbaum, William T. Freeman, Jiajun Wu, Daniela Rus, Wojciech Matusik: IEEE International Conference on Robotics and Automation (ICRA) #dynamics modeling, #deep learning, #robotics
@article{YuanmingHu:2019:88b13,
author = {Yuanming Hu and Jiancheng Liu and Andrew Spielberg and Joshua B. Tenenbaum and William T. Freeman and Jiajun Wu and Daniela Rus and Wojciech Matusik},
journal = {IEEE International Conference on Robotics and Automation (ICRA)},
title = {ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics},
year = {2019},
keywords = {dynamics modeling, deep learning, robotics},
doi = {},
url = {https://github.com/yuanming-hu/ChainQueen}
}
See, Feel, Act: Hierarchical Learning for Complex Manipulation Skills with Multi-sensory Fusion (web) (bibtex)
Nima Fazeli, Miquel Oller, Jiajun Wu, Zheng Wu, Joshua B. Tenenbaum, Alberto Rodriguez: Science Robotics #robotics, #deep learning, #dynamics modeling, #manipulation
@article{NimaFazeli:2019:a5ddd,
author = {Nima Fazeli and Miquel Oller and Jiajun Wu and Zheng Wu and Joshua B. Tenenbaum and Alberto Rodriguez},
journal = {Science Robotics},
title = {See, Feel, Act: Hierarchical Learning for Complex Manipulation Skills with Multi-sensory Fusion},
year = {2019},
keywords = {robotics, deep learning, dynamics modeling, manipulation},
doi = {},
url = {http://robotics.sciencemag.org/content/4/26/eaav3123}
}
Zhenjia Xu, Jiajun Wu, Andy Zeng, Joshua B. Tenenbaum, Shuran Song: Robotics: Science and Systems (RSS) #deep learning, #robotics, #intuitive physics
@article{ZhenjiaXu:2019:b51cb,
author = {Zhenjia Xu and Jiajun Wu and Andy Zeng and Joshua B. Tenenbaum and Shuran Song},
journal = {Robotics: Science and Systems (RSS)},
title = {DensePhysNet: Learning Dense Physical Object Representations via Multi-step Dynamic Interactions},
year = {2019},
keywords = {deep learning, robotics, intuitive physics},
doi = {},
url = {http://www.zhenjiaxu.com/DensePhysNet/}
}