Using Local Experiences for Global Motion Planning

Using Local Experiences for Global Motion Planning

20 March 2019

Constantinos Chamzas

Anshumali Shrivastava

Lydia E. Kavraki

Papers citing "Using Local Experiences for Global Motion Planning"

9 / 9 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 63 1 0 24 Feb 2025
Speeding Up Optimization-based Motion Planning through Deep Learning Johannes Tenhumberg Darius Burschka Berthold Bäuml 18 8 0 14 Nov 2023
Non-Trivial Query Sampling For Efficient Learning To Plan S. Joshi Panagiotis Tsiotras 26 0 0 12 Mar 2023
Guaranteed Rejection-free Sampling Method Using Past Behaviours for Motion Planning of Autonomous Systems T. Enevoldsen R. Galeazzi 27 0 0 29 Sep 2021
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 Alexandru Toma H. Jaafar Hao-Ya Hsueh Stephen James Daniel Lenton R. Clark Sajad Saeedi 30 9 0 01 May 2021
Self-Imitation Learning by Planning Junhyuk Oh Yijie Guo Satinder Singh SSL 35 86 0 25 Mar 2021
Learning Sampling Distributions Using Local 3D Workspace Decompositions for Motion Planning in High Dimensions Constantinos Chamzas Zachary Kingston Carlos Quintero-Peña Anshumali Shrivastava Lydia E. Kavraki 14 37 0 29 Oct 2020
LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based Planning Rahul Kumar Aditya Mandalika Sanjiban Choudhury S. Srinivasa 8 59 0 22 Jul 2019