Learning Sampling Distributions Using Local 3D Workspace Decompositions
for Motion Planning in High Dimensions

Learning Sampling Distributions Using Local 3D Workspace Decompositions for Motion Planning in High Dimensions

29 October 2020

Constantinos Chamzas

Zachary Kingston

Carlos Quintero-Peña

Anshumali Shrivastava

Lydia E. Kavraki

Papers citing "Learning Sampling Distributions Using Local 3D Workspace Decompositions for Motion Planning in High Dimensions"

18 / 18 papers shown

Title
CoverLib: Classifiers-equipped Experience Library by Iterative Problem Distribution Coverage Maximization for Domain-tuned Motion Planning Hirokazu Ishida Naoki Hiraoka K. Okada Masayuki Inaba 100 1 0 24 Feb 2025
Generalizable Motion Planning via Operator Learning Sharath Matada Luke Bhan Yuanyuan Shi Nikolay Atanasov 77 0 0 23 Oct 2024
Multi-query Robotic Manipulator Task Sequencing with Gromov-Hausdorff Approximations F. Sukkar Jennifer Wakulicz Ki Myung Brian Lee Weiming Zhi Robert Fitch 55 2 0 11 Sep 2022
Leveraging Experience in Lazy Search M. Bhardwaj Sanjiban Choudhury Byron Boots S. Srinivasa 55 13 0 10 Oct 2021
Robowflex: Robot Motion Planning with MoveIt Made Easy Zachary Kingston Lydia E. Kavraki 41 22 0 23 Mar 2021
Memory Clustering using Persistent Homology for Multimodality- and Discontinuity-Sensitive Learning of Optimal Control Warm-starts W. Merkt V. Ivan Traiko Dinev Ioannis Havoutis S. Vijayakumar 50 10 0 02 Oct 2020
Learned Critical Probabilistic Roadmaps for Robotic Motion Planning Brian Ichter Edward Schmerling T. Lee Aleksandra Faust 30 71 0 08 Oct 2019
LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based Planning Rahul Kumar Aditya Mandalika Sanjiban Choudhury S. Srinivasa 67 59 0 22 Jul 2019
Memory of Motion for Warm-starting Trajectory Optimization Teguh Santoso Lembono Antonio Paolillo Emmanuel Pignat Sylvain Calinon 40 45 0 02 Jul 2019
Harnessing Reinforcement Learning for Neural Motion Planning Tom Jurgenson Aviv Tamar OOD 78 65 0 01 Jun 2019
Using Local Experiences for Global Motion Planning Constantinos Chamzas Anshumali Shrivastava Lydia E. Kavraki 56 42 0 20 Mar 2019
Learn and Link: Learning Critical Regions for Efficient Planning Daniel Molina Kislay Kumar Siddharth Srivastava 35 28 0 08 Mar 2019
Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees Binghong Chen Bo Dai Qinjie Lin Guo Ye Han Liu Le Song 55 52 0 28 Feb 2019
Motion Planning Networks A. H. Qureshi Anthony Simeonov M. J. Bency Michael C. Yip 3DPC 47 238 0 14 Jun 2018
Learning Implicit Sampling Distributions for Motion Planning Clark Zhang Jinwook Huh Daniel D. Lee 27 77 0 06 Jun 2018
Discontinuity-Sensitive Optimal Control Learning by Mixture of Experts Gao Tang Kris K. Hauser 28 15 0 07 Mar 2018
Learning Sampling Distributions for Robot Motion Planning Brian Ichter James Harrison Marco Pavone 37 352 0 16 Sep 2017
Experience-Based Planning with Sparse Roadmap Spanners D.M. Coleman I. Sucan Mark Moll K. Okada N. Correll 71 77 0 08 Oct 2014

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