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2501.17963
Cited By
Physics-Grounded Differentiable Simulation for Soft Growing Robots
International Conference on Soft Robotics (RoboSoft), 2025
29 January 2025
Lucas Chen
Yitian Gao
Sicheng Wang
Francesco Fuentes
Laura H. Blumenschein
Zachary Kingston
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Papers citing
"Physics-Grounded Differentiable Simulation for Soft Growing Robots"
27 / 27 papers shown
Title
Learning to Design Soft Hands using Reward Models
Xueqian Bai
Nicklas Hansen
Adabhav Singh
Michael T Tolley
Yan Duan
Pieter Abbeel
Xiaolong Wang
Sha Yi
111
2
0
20 Oct 2025
Parallel Simulation of Contact and Actuation for Soft Growing Robots
Yitian Gao
Lucas Chen
Priyanka Bhovad
Sicheng Wang
Zachary Kingston
Laura H. Blumenschein
100
0
0
18 Sep 2025
Anisotropic Stiffness and Programmable Actuation for Soft Robots Enabled by an Inflated Rotational Joint
IEEE International Conference on Robotics and Automation (ICRA), 2024
Sicheng Wang
Eugenio Frias Miranda
Antonio Alvarez Valdivia
Laura H. Blumenschein
167
4
0
16 Oct 2024
Collapse of Straight Soft Growing Inflated Beam Robots Under Their Own Weight
International Conference on Soft Robotics (RoboSoft), 2023
Ciera McFarland
Margaret M. Coad
116
6
0
30 Jun 2023
Finite Element Modeling of Pneumatic Bending Actuators for Inflated-Beam Robots
IEEE Robotics and Automation Letters (RA-L), 2023
Cosima du Pasquier
S. Jeong
Allison M. Okamura
AI4CE
169
4
0
06 Jun 2023
Single-Level Differentiable Contact Simulation
IEEE Robotics and Automation Letters (RA-L), 2022
Simon Le Cleac'h
Mac Schwager
Zachary Manchester
Vikas Sindhwani
Peter R. Florence
Sumeet Singh
212
10
0
13 Dec 2022
Differentiable Collision Detection for a Set of Convex Primitives
IEEE International Conference on Robotics and Automation (ICRA), 2022
K. Tracy
Taylor A. Howell
Zachary Manchester
270
68
0
01 Jul 2022
Rethinking Optimization with Differentiable Simulation from a Global Perspective
Conference on Robot Learning (CoRL), 2022
Rika Antonova
Jingyun Yang
Krishna Murthy Jatavallabhula
Jeannette Bohg
314
40
0
28 Jun 2022
Accelerated Policy Learning with Parallel Differentiable Simulation
International Conference on Learning Representations (ICLR), 2022
Jie Xu
Viktor Makoviychuk
Yashraj S. Narang
Fabio Ramos
Wojciech Matusik
Animesh Garg
Lukasz Wawrzyniak
191
124
0
14 Apr 2022
Do Differentiable Simulators Give Better Policy Gradients?
International Conference on Machine Learning (ICML), 2022
H.J. Terry Suh
Max Simchowitz
Jianchao Tan
Russ Tedrake
215
116
0
02 Feb 2022
Model Based Control of Soft Robots: A Survey of the State of the Art and Open Challenges
Cosimo Della Santina
Christian Duriez
Daniela Rus
AI4CE
230
291
0
04 Oct 2021
Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning
Viktor Makoviychuk
Lukasz Wawrzyniak
Yunrong Guo
Michelle Lu
Kier Storey
...
David Hoeller
Nikita Rudin
Arthur Allshire
Ankur Handa
Gavriel State
531
1,447
0
24 Aug 2021
Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation
C. Freeman
Erik Frey
Anton Raichuk
Sertan Girgin
Igor Mordatch
Olivier Bachem
459
450
0
24 Jun 2021
gradSim: Differentiable simulation for system identification and visuomotor control
Krishna Murthy Jatavallabhula
Lukasz Wawrzyniak
Florian Golemo
Vikram S. Voleti
Petrini
...
Erleben
Liam Paull
Florian Shkurti
Derek Nowrouzezahrai
Sanja Fidler
137
112
0
06 Apr 2021
NeuralSim: Augmenting Differentiable Simulators with Neural Networks
Eric Heiden
David Millard
Erwin Coumans
Yizhou Sheng
Gaurav Sukhatme
211
158
0
09 Nov 2020
A Dynamics Simulator for Soft Growing Robots
Rianna M. Jitosho
Nathaniel Agharese
Allison M. Okamura
Zachary Manchester
AI4CE
137
16
0
03 Nov 2020
ContactNets: Learning Discontinuous Contact Dynamics with Smooth, Implicit Representations
Conference on Robot Learning (CoRL), 2020
Samuel Pfrommer
Mathew Halm
Michael Posa
311
93
0
23 Sep 2020
Geometric Solutions for General Actuator Routing on Inflated-Beam Soft Growing Robots
IEEE Transactions on robotics (IEEE Trans. Robot.), 2020
Laura H. Blumenschein
Margaret Koehler
Nathan S. Usevitch
E. Hawkes
Caleb D. Rucker
Allison M. Okamura
89
31
0
10 Jun 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Neural Information Processing Systems (NeurIPS), 2019
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
952
48,140
0
03 Dec 2019
Differentiable Convex Optimization Layers
Neural Information Processing Systems (NeurIPS), 2019
Akshay Agrawal
Brandon Amos
Shane T. Barratt
Stephen P. Boyd
Steven Diamond
Zico Kolter
221
755
0
28 Oct 2019
Retraction of Soft Growing Robots without Buckling
IEEE Robotics and Automation Letters (RA-L), 2019
Margaret M. Coad
Rachel Thomasson
Laura H. Blumenschein
Nathan S. Usevitch
E. Hawkes
Allison M. Okamura
139
66
0
25 Oct 2019
DiffTaichi: Differentiable Programming for Physical Simulation
International Conference on Learning Representations (ICLR), 2019
Yuanming Hu
Luke Anderson
Tzu-Mao Li
Qi Sun
N. Carr
Jonathan Ragan-Kelley
F. Durand
332
435
0
01 Oct 2019
Robust Navigation of a Soft Growing Robot by Exploiting Contact with the Environment
Joseph D. Greer
Laura H. Blumenschein
Ron Alterovitz
E. Hawkes
Allison M. Okamura
407
85
0
23 Aug 2019
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
183
292
0
02 Oct 2018
Decoupled Weight Decay Regularization
I. Loshchilov
Katharina Eggensperger
OffRL
466
2,469
0
14 Nov 2017
OptNet: Differentiable Optimization as a Layer in Neural Networks
Brandon Amos
J. Zico Kolter
707
1,095
0
01 Mar 2017
Automatic differentiation in machine learning: a survey
A. G. Baydin
Barak A. Pearlmutter
Alexey Radul
J. Siskind
PINN
AI4CE
ODL
434
3,223
0
20 Feb 2015
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