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DiffAqua: A Differentiable Computational Design Pipeline for Soft Underwater Swimmers with Shape Interpolation

2 April 2021

Robert K. Katzschmann

Wojciech Matusik

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Papers citing "DiffAqua: A Differentiable Computational Design Pipeline for Soft Underwater Swimmers with Shape Interpolation"

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Title
PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics Zhiao Huang Yuanming Hu Tao Du Siyuan Zhou Hao Su J. Tenenbaum Chuang Gan AI4CE 72 133 0 07 Apr 2021
Scalable Differentiable Physics for Learning and Control Yi-Ling Qiao Junbang Liang V. Koltun Ming Lin PINN AI4CE 77 119 0 04 Jul 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 143 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
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 532 42,559 0 03 Dec 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
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows Guandao Yang Xun Huang Jinwei Gu Ming-Yuan Liu Serge J. Belongie Bharath Hariharan 3DPC 101 670 0 28 Jun 2019
Neural Graph Evolution: Towards Efficient Automatic Robot Design Tingwu Wang Yuhao Zhou Sanja Fidler Jimmy Ba 65 63 0 12 Jun 2019
Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity Deepak Pathak Chris Xiaoxuan Lu Trevor Darrell Phillip Isola Alexei A. Efros 46 135 0 14 Feb 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation Jeong Joon Park Peter R. Florence Julian Straub Richard Newcombe S. Lovegrove 3DV 133 3,705 0 16 Jan 2019
Reinforcement Learning for Improving Agent Design David R Ha 104 127 0 09 Oct 2018
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
ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics Yuanming Hu Jiancheng Liu Andrew Spielberg J. Tenenbaum William T. Freeman Jiajun Wu Daniela Rus Wojciech Matusik AI4CE 77 266 0 02 Oct 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 429 5,156 0 19 Jun 2018
SPNets: Differentiable Fluid Dynamics for Deep Neural Networks Connor Schenck Dieter Fox PINN 3DPC AI4CE 240 162 0 15 Jun 2018
Jointly Learning to Construct and Control Agents using Deep Reinforcement Learning Charles B. Schaff David Yunis Ayan Chakrabarti Matthew R. Walter 53 101 0 04 Jan 2018
Automatic Differentiation of Rigid Body Dynamics for Optimal Control and Estimation Markus Giftthaler Michael Neunert M. Stäuble M. Frigerio Claudio Semini J. Buchli 67 62 0 12 Sep 2017
Functional Co-Optimization of Articulated Robots Andrew Spielberg Brandon Araki C. Sung Russ Tedrake Daniela Rus 44 56 0 20 Jul 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 730 132,363 0 12 Jun 2017
A Differentiable Physics Engine for Deep Learning in Robotics Jonas Degrave Michiel Hermans J. Dambre Francis Wyffels PINN AI4CE 77 231 0 05 Nov 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,312 0 22 Dec 2014