Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2009.11852
Cited By
Learning Equality Constraints for Motion Planning on Manifolds
Conference on Robot Learning (CoRL), 2020
24 September 2020
Giovanni Sutanto
Isabel M. Rayas Fernández
Péter Englert
R. Ramachandran
Gaurav Sukhatme
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Learning Equality Constraints for Motion Planning on Manifolds"
16 / 16 papers shown
Efficient Collision Detection Framework for Enhancing Collision-Free Robot Motion
IEEE International Conference on Robotics and Automation (ICRA), 2024
Xiankun Zhu
Yucheng Xin
Shoujie Li
Houde Liu
Chongkun Xia
Bin Liang
202
3
0
23 Sep 2024
ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation
Conference on Robot Learning (CoRL), 2024
Wenlong Huang
Chen Wang
Yongqian Li
Ruohan Zhang
Li Fei-Fei
379
257
0
03 Sep 2024
Configuration Space Distance Fields for Manipulation Planning
Yiming Li
Xuemin Chi
Amirreza Razmjoo
Sylvain Calinon
318
23
0
03 Jun 2024
Improving Out-of-Distribution Generalization of Learned Dynamics by Learning Pseudometrics and Constraint Manifolds
IEEE International Conference on Robotics and Automation (ICRA), 2024
Yating Lin
Glen Chou
Dmitry Berenson
OODD
310
0
0
18 Mar 2024
Physics-informed Neural Motion Planning on Constraint Manifolds
IEEE International Conference on Robotics and Automation (ICRA), 2024
Ruiqi Ni
A. H. Qureshi
PINN
205
8
0
09 Mar 2024
Safe Execution of Learned Orientation Skills with Conic Control Barrier Functions
IEEE International Conference on Robotics and Automation (ICRA), 2024
Zheng Shen
Matteo Saveriano
Fares J. Abu-Dakka
Sami Haddadin
191
1
0
08 Mar 2024
Motion Memory: Leveraging Past Experiences to Accelerate Future Motion Planning
IEEE International Conference on Robotics and Automation (ICRA), 2023
Dibyendu Das
Yuanjie Lu
Erion Plaku
Xuesu Xiao
447
14
0
09 Oct 2023
Entropy Transformer Networks: A Learning Approach via Tangent Bundle Data Manifold
IEEE International Joint Conference on Neural Network (IJCNN), 2023
Pourya Shamsolmoali
Masoumeh Zareapoor
227
1
0
24 Jul 2023
Representing Robot Geometry as Distance Fields: Applications to Whole-body Manipulation
IEEE International Conference on Robotics and Automation (ICRA), 2023
Yiming Li
Yan Zhang
Amirreza Razmjoo
Sylvain Calinon
412
42
0
02 Jul 2023
Collision-free Motion Generation Based on Stochastic Optimization and Composite Signed Distance Field Networks of Articulated Robot
IEEE Robotics and Automation Letters (RA-L), 2023
Baolin Liu
G. Jiang
Fei Zhao
Xue Mei
201
25
0
07 Jun 2023
A Survey on the Integration of Machine Learning with Sampling-based Motion Planning
T. McMahon
Aravind Sivaramakrishnan
Edgar Granados
Kostas E. Bekris
240
21
0
15 Nov 2022
Regularized Deep Signed Distance Fields for Reactive Motion Generation
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Puze Liu
Kuo Zhang
Davide Tateo
Snehal Jauhri
Jan Peters
Georgia Chalvatzaki
215
44
0
09 Mar 2022
Gaussian Process Constraint Learning for Scalable Chance-Constrained Motion Planning from Demonstrations
Glen Chou
Hao Wang
Dmitry Berenson
179
13
0
08 Dec 2021
Neural Fields in Visual Computing and Beyond
Yiheng Xie
Towaki Takikawa
Forrest Iandola
Or Litany
Shiqin Yan
Numair Khan
Federico Tombari
James Tompkin
Vincent Sitzmann
Srinath Sridhar
3DH
916
746
0
22 Nov 2021
Learning Models as Functionals of Signed-Distance Fields for Manipulation Planning
Danny Driess
Jung-Su Ha
Marc Toussaint
Russ Tedrake
338
70
0
02 Oct 2021
Sampling-Based Motion Planning on Sequenced Manifolds
Péter Englert
Isabel M. Rayas Fernández
R. Ramachandran
Gaurav Sukhatme
266
17
0
03 Jun 2020
1
Page 1 of 1
