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On discrete symmetries of robotics systems: A group-theoretic and
  data-driven analysis
v1v2v3 (latest)

On discrete symmetries of robotics systems: A group-theoretic and data-driven analysis

21 February 2023
Daniel Felipe Ordoñez Apraez
Mario Martin
Antonio Agudo
Francesc Moreno-Noguer
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "On discrete symmetries of robotics systems: A group-theoretic and data-driven analysis"

15 / 15 papers shown
Title
Leveraging Symmetry in RL-based Legged Locomotion Control
Leveraging Symmetry in RL-based Legged Locomotion Control
Zhi Su
Xiaoyu Huang
Daniel Felipe Ordoñez Apraez
Yunfei Li
Zhongyu Li
...
Giulio Turrisi
Massimiliano Pontil
Claudio Semini
Yi Wu
Koushil Sreenath
84
16
0
26 Mar 2024
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics
Rui Wang
Robin Walters
Rose Yu
95
82
0
28 Jan 2022
Residual Pathway Priors for Soft Equivariance Constraints
Residual Pathway Priors for Soft Equivariance Constraints
Marc Finzi
Gregory W. Benton
A. Wilson
BDLUQCV
70
59
0
02 Dec 2021
An Adaptable Approach to Learn Realistic Legged Locomotion without
  Examples
An Adaptable Approach to Learn Realistic Legged Locomotion without Examples
Daniel Felipe Ordoñez Apraez
Antonio Agudo
Francesc Moreno-Noguer
Mario Martin
74
8
0
28 Oct 2021
Legged Robot State Estimation using Invariant Kalman Filtering and
  Learned Contact Events
Legged Robot State Estimation using Invariant Kalman Filtering and Learned Contact Events
Tzu-Yuan Lin
Ray Zhang
Justin Yu
Maani Ghaffari
63
36
0
29 Jun 2021
Benchmarking Structured Policies and Policy Optimization for Real-World
  Dexterous Object Manipulation
Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation
Niklas Funk
Charles B. Schaff
Rishabh Madan
Takuma Yoneda
Julen Urain De Jesus
...
Stefan Bauer
S. Srinivasa
Tapomayukh Bhattacharjee
Matthew R. Walter
Jan Peters
80
35
0
05 May 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
362
1,160
0
27 Apr 2021
A Practical Method for Constructing Equivariant Multilayer Perceptrons
  for Arbitrary Matrix Groups
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups
Marc Finzi
Max Welling
A. Wilson
162
197
0
19 Apr 2021
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning
Elise van der Pol
Daniel E. Worrall
H. V. Hoof
F. Oliehoek
Max Welling
BDLAI4CE
80
162
0
30 Jun 2020
Chirality Nets for Human Pose Regression
Chirality Nets for Human Pose Regression
Raymond A. Yeh
Yuan-Ting Hu
Alex Schwing
3DH
55
50
0
31 Oct 2019
Learning Symmetric and Low-energy Locomotion
Learning Symmetric and Low-energy Locomotion
Wenhao Yu
Greg Turk
Chenxi Liu
111
186
0
24 Jan 2018
Self-Normalizing Neural Networks
Self-Normalizing Neural Networks
Günter Klambauer
Thomas Unterthiner
Andreas Mayr
Sepp Hochreiter
470
2,519
0
08 Jun 2017
Equivariance Through Parameter-Sharing
Equivariance Through Parameter-Sharing
Siamak Ravanbakhsh
J. Schneider
Barnabás Póczós
92
258
0
27 Feb 2017
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
813
3,293
0
24 Nov 2016
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
341
18,651
0
06 Feb 2015
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