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Bundled Gradients through Contact via Randomized Smoothing

Bundled Gradients through Contact via Randomized Smoothing

11 September 2021
H. Suh
Tao Pang
Russ Tedrake
ArXivPDFHTML

Papers citing "Bundled Gradients through Contact via Randomized Smoothing"

40 / 40 papers shown
Title
Dexterous Contact-Rich Manipulation via the Contact Trust Region
Dexterous Contact-Rich Manipulation via the Contact Trust Region
H. Suh
Tao Pang
Tong Zhao
Russ Tedrake
36
4
0
04 May 2025
Coherence-based Approximate Derivatives via Web of Affine Spaces Optimization
Coherence-based Approximate Derivatives via Web of Affine Spaces Optimization
Daniel Rakita
Chen Liang
Qian Wang
24
0
0
26 Apr 2025
Planning-Guided Diffusion Policy Learning for Generalizable Contact-Rich Bimanual Manipulation
Planning-Guided Diffusion Policy Learning for Generalizable Contact-Rich Bimanual Manipulation
Xuanlin Li
Tong Zhao
Xinghao Zhu
Jiuguang Wang
Tao Pang
Kuan Fang
85
4
0
03 Dec 2024
Is Linear Feedback on Smoothed Dynamics Sufficient for Stabilizing Contact-Rich Plans?
Is Linear Feedback on Smoothed Dynamics Sufficient for Stabilizing Contact-Rich Plans?
Yuki Shirai
Tong Zhao
H. Suh
Huaijiang Zhu
Xinpei Ni
Jiuguang Wang
Max Simchowitz
Tao Pang
57
3
0
10 Nov 2024
DiffSim2Real: Deploying Quadrupedal Locomotion Policies Purely Trained
  in Differentiable Simulation
DiffSim2Real: Deploying Quadrupedal Locomotion Policies Purely Trained in Differentiable Simulation
Joshua Bagajo
Clemens Schwarke
Victor Klemm
Ignat Georgiev
Jean-Pierre Sleiman
J. Tordesillas
Animesh Garg
Marco Hutter
31
0
0
04 Nov 2024
Learning to Walk from Three Minutes of Real-World Data with
  Semi-structured Dynamics Models
Learning to Walk from Three Minutes of Real-World Data with Semi-structured Dynamics Models
Jacob Levy
T. Westenbroek
David Fridovich-Keil
39
7
0
11 Oct 2024
Divide et Impera: Decoding Impedance Strategies for Robotic Peg-in-Hole Assembly
Divide et Impera: Decoding Impedance Strategies for Robotic Peg-in-Hole Assembly
Johannes Lachner
F. Tessari
A. Michael West Jr.
Moses C. Nah
Neville Hogan
25
0
0
01 Oct 2024
Complementarity-Free Multi-Contact Modeling and Optimization for Dexterous Manipulation
Complementarity-Free Multi-Contact Modeling and Optimization for Dexterous Manipulation
Wanxin Jin
61
6
0
14 Aug 2024
Learning-based legged locomotion; state of the art and future
  perspectives
Learning-based legged locomotion; state of the art and future perspectives
Sehoon Ha
Joonho Lee
M. van de Panne
Zhaoming Xie
Wenhao Yu
Majid Khadiv
47
16
0
03 Jun 2024
Constrained Dynamics Simulation: More With Less
Constrained Dynamics Simulation: More With Less
A. Sathya
AI4CE
31
0
0
31 May 2024
QuasiSim: Parameterized Quasi-Physical Simulators for Dexterous
  Manipulations Transfer
QuasiSim: Parameterized Quasi-Physical Simulators for Dexterous Manipulations Transfer
Xueyi Liu
Kangbo Lyu
Jieqiong Zhang
Tao Du
Li Yi
43
4
0
11 Apr 2024
Learning Quadrupedal Locomotion via Differentiable Simulation
Learning Quadrupedal Locomotion via Differentiable Simulation
Clemens Schwarke
Victor Klemm
J. Tordesillas
Jean-Pierre Sleiman
Marco Hutter
45
5
0
03 Apr 2024
Towards Tight Convex Relaxations for Contact-Rich Manipulation
Towards Tight Convex Relaxations for Contact-Rich Manipulation
B. P. Graesdal
S. Y. C. Chia
Tobia Marcucci
Savva Morozov
Alexandre Amice
P. Parrilo
Russ Tedrake
58
21
0
15 Feb 2024
Model-Based Reparameterization Policy Gradient Methods: Theory and
  Practical Algorithms
Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms
Shenao Zhang
Boyi Liu
Zhaoran Wang
Tuo Zhao
24
2
0
30 Oct 2023
Combining Sampling- and Gradient-based Planning for Contact-rich
  Manipulation
Combining Sampling- and Gradient-based Planning for Contact-rich Manipulation
Filippo Rozzi
L. Roveda
Kevin Haninger
23
3
0
07 Oct 2023
Smoothing Methods for Automatic Differentiation Across Conditional
  Branches
Smoothing Methods for Automatic Differentiation Across Conditional Branches
J. N. Kreikemeyer
Philipp Andelfinger
41
6
0
05 Oct 2023
Inverse Dynamics Trajectory Optimization for Contact-Implicit Model Predictive Control
Inverse Dynamics Trajectory Optimization for Contact-Implicit Model Predictive Control
Vince Kurtz
Alejandro Castro
Aykut Özgün Önol
Hai Lin
44
15
0
04 Sep 2023
Zero Grads: Learning Local Surrogate Losses for Non-Differentiable
  Graphics
Zero Grads: Learning Local Surrogate Losses for Non-Differentiable Graphics
Michael Fischer
Tobias Ritschel
27
2
0
10 Aug 2023
Dynamic-Resolution Model Learning for Object Pile Manipulation
Dynamic-Resolution Model Learning for Object Pile Manipulation
Yixuan Wang
Yunzhu Li
Katherine Driggs-Campbell
Li Fei-Fei
Jiajun Wu
32
19
0
29 Jun 2023
Fighting Uncertainty with Gradients: Offline Reinforcement Learning via
  Diffusion Score Matching
Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching
H. Suh
Glen Chou
Hongkai Dai
Lujie Yang
Abhishek Gupta
Russ Tedrake
DiffM
OffRL
37
7
0
24 Jun 2023
Self-Supervised Reinforcement Learning that Transfers using Random
  Features
Self-Supervised Reinforcement Learning that Transfers using Random Features
Boyuan Chen
Chuning Zhu
Pulkit Agrawal
Kaipeng Zhang
Abhishek Gupta
OffRL
SSL
20
6
0
26 May 2023
Synthesize Dexterous Nonprehensile Pregrasp for Ungraspable Objects
Synthesize Dexterous Nonprehensile Pregrasp for Ungraspable Objects
Sirui Chen
A. Wu
C.Karen Liu
23
17
0
08 May 2023
Improving Gradient Computation for Differentiable Physics Simulation
  with Contacts
Improving Gradient Computation for Differentiable Physics Simulation with Contacts
Yaofeng Desmond Zhong
Jiequn Han
Biswadip Dey
Georgia Olympia Brikis
40
3
0
28 Apr 2023
Contact Models in Robotics: a Comparative Analysis
Contact Models in Robotics: a Comparative Analysis
Quentin Le Lidec
Wilson Jallet
Louis Montaut
Ivan Laptev
Cordelia Schmid
Justin Carpentier
33
28
0
13 Apr 2023
Oracle-Efficient Smoothed Online Learning for Piecewise Continuous
  Decision Making
Oracle-Efficient Smoothed Online Learning for Piecewise Continuous Decision Making
Adam Block
Alexander Rakhlin
Max Simchowitz
37
4
0
10 Feb 2023
Smoothed Online Learning for Prediction in Piecewise Affine Systems
Smoothed Online Learning for Prediction in Piecewise Affine Systems
Adam Block
Max Simchowitz
Russ Tedrake
21
12
0
26 Jan 2023
Optimization-Based Control for Dynamic Legged Robots
Optimization-Based Control for Dynamic Legged Robots
Patrick M. Wensing
Michael Posa
Yue Hu
Adrien Escande
Nicolas Mansard
Andrea Del Prete
27
139
0
21 Nov 2022
Differentiable Collision Detection: a Randomized Smoothing Approach
Differentiable Collision Detection: a Randomized Smoothing Approach
Louis Montaut
Quentin Le Lidec
Antoine Bambade
Vladimir Petrik
Josef Sivic
Justin Carpentier
46
29
0
19 Sep 2022
Augmenting differentiable physics with randomized smoothing
Augmenting differentiable physics with randomized smoothing
Quentin Le Lidec
Louis Montaut
Cordelia Schmid
Ivan Laptev
Justin Carpentier
34
4
0
23 Jun 2022
Global Planning for Contact-Rich Manipulation via Local Smoothing of
  Quasi-dynamic Contact Models
Global Planning for Contact-Rich Manipulation via Local Smoothing of Quasi-dynamic Contact Models
Tao Pang
H. Suh
Lujie Yang
Russ Tedrake
42
101
0
22 Jun 2022
Certifiable Robot Design Optimization using Differentiable Programming
Certifiable Robot Design Optimization using Differentiable Programming
Charles Dawson
Chuchu Fan
23
7
0
22 Apr 2022
Leveraging Randomized Smoothing for Optimal Control of Nonsmooth
  Dynamical Systems
Leveraging Randomized Smoothing for Optimal Control of Nonsmooth Dynamical Systems
Quentin Le Lidec
Fabian Schramm
Louis Montaut
Cordelia Schmid
Ivan Laptev
Justin Carpentier
38
24
0
08 Mar 2022
Robust Counterexample-guided Optimization for Planning from
  Differentiable Temporal Logic
Robust Counterexample-guided Optimization for Planning from Differentiable Temporal Logic
Charles Dawson
Chuchu Fan
22
12
0
03 Mar 2022
Dojo: A Differentiable Physics Engine for Robotics
Dojo: A Differentiable Physics Engine for Robotics
Taylor A. Howell
Simon Le Cleac'h
Jan Brüdigam
J. Zico Kolter
Mac Schwager
Zachary Manchester
21
34
0
02 Mar 2022
Do Differentiable Simulators Give Better Policy Gradients?
Do Differentiable Simulators Give Better Policy Gradients?
H. Suh
Max Simchowitz
Kaipeng Zhang
Russ Tedrake
30
95
0
02 Feb 2022
SEED: Series Elastic End Effectors in 6D for Visuotactile Tool Use
SEED: Series Elastic End Effectors in 6D for Visuotactile Tool Use
H. Suh
Naveen Kuppuswamy
Tao Pang
P. Mitiguy
A. Alspach
Russ Tedrake
19
12
0
02 Nov 2021
Trajectory Optimization with Optimization-Based Dynamics
Trajectory Optimization with Optimization-Based Dynamics
Taylor A. Howell
Simon Le Cleac'h
Sumeet Singh
Peter R. Florence
Zachary Manchester
Vikas Sindhwani
AI4CE
84
27
0
10 Sep 2021
Deep Dynamics Models for Learning Dexterous Manipulation
Deep Dynamics Models for Learning Dexterous Manipulation
Anusha Nagabandi
K. Konolige
Sergey Levine
Vikash Kumar
154
408
0
25 Sep 2019
Emergence of Locomotion Behaviours in Rich Environments
Emergence of Locomotion Behaviours in Rich Environments
N. Heess
TB Dhruva
S. Sriram
Jay Lemmon
J. Merel
...
Tom Erez
Ziyun Wang
S. M. Ali Eslami
Martin Riedmiller
David Silver
134
928
0
07 Jul 2017
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
139
1,199
0
16 Aug 2016
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