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Neural Manipulation Planning on Constraint Manifolds

Neural Manipulation Planning on Constraint Manifolds

9 August 2020
A. H. Qureshi
Jiangeng Dong
Austin Choe
Michael C. Yip
ArXivPDFHTML

Papers citing "Neural Manipulation Planning on Constraint Manifolds"

6 / 6 papers shown
Title
Zero-Shot Constrained Motion Planning Transformers Using Learned
  Sampling Dictionaries
Zero-Shot Constrained Motion Planning Transformers Using Learned Sampling Dictionaries
Jacob J. Johnson
A. H. Qureshi
Michael C. Yip
21
0
0
26 Sep 2023
PathBench: A Benchmarking Platform for Classical and Learned Path
  Planning Algorithms
PathBench: A Benchmarking Platform for Classical and Learned Path Planning Algorithms
Alexandru Toma
Hao-Ya Hsueh
H. Jaafar
Riku Murai
Paul H. J. Kelly
Sajad Saeedi
15
20
0
04 May 2021
Waypoint Planning Networks
Waypoint Planning Networks
Alexandru Toma
H. Jaafar
Hao-Ya Hsueh
Stephen James
Daniel Lenton
R. Clark
Sajad Saeedi
27
9
0
01 May 2021
MPC-MPNet: Model-Predictive Motion Planning Networks for Fast,
  Near-Optimal Planning under Kinodynamic Constraints
MPC-MPNet: Model-Predictive Motion Planning Networks for Fast, Near-Optimal Planning under Kinodynamic Constraints
Linjun Li
Yinglong Miao
A. H. Qureshi
Michael C. Yip
46
46
0
17 Jan 2021
Constrained Motion Planning Networks X
Constrained Motion Planning Networks X
A. H. Qureshi
Jiangeng Dong
Asfiya Baig
Michael C. Yip
3DPC
30
33
0
17 Oct 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
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