LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based
Planning

LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based Planning

22 July 2019

Aditya Mandalika

Sanjiban Choudhury

Papers citing "LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based Planning"

17 / 17 papers shown

Title
Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Ruiqi Ni Zherong Pan A. H. Qureshi SSL 48 0 0 09 May 2025
PRESTO: Fast Motion Planning Using Diffusion Models Based on Key-Configuration Environment Representation Mingyo Seo Yoonyoung Cho Yoonchang Sung Peter Stone Yuke Zhu Beomjoon Kim DiffM 32 0 0 24 Sep 2024
Non-Trivial Query Sampling For Efficient Learning To Plan S. Joshi Panagiotis Tsiotras 26 0 0 12 Mar 2023
NTFields: Neural Time Fields for Physics-Informed Robot Motion Planning Ruiqi Ni A. H. Qureshi AI4CE 36 17 0 30 Sep 2022
Robot Motion Planning as Video Prediction: A Spatio-Temporal Neural Network-based Motion Planner Xiao Zang Miao Yin Lingyi Huang Jingjin Yu S. Zonouz Bo Yuan 3DV 33 12 0 24 Aug 2022
Approximating Constraint Manifolds Using Generative Models for Sampling-Based Constrained Motion Planning C. Acar K. P. Tee 26 6 0 14 Apr 2022
Learning-based Collision-free Planning on Arbitrary Optimization Criteria in the Latent Space through cGANs Tomoki Ando Hiroto Iino Hiroki Mori Ryota Torishima K. Takahashi Shoichiro Yamaguchi Daisuke Okanohara Tetsuya Ogata 11 5 0 26 Feb 2022
Using Deep Learning to Bootstrap Abstractions for Hierarchical Robot Planning Naman Shah Siddharth Srivastava 30 18 0 02 Feb 2022
CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces Keisuke Okumura Ryo Yonetani Mai Nishimura Asako Kanezaki 44 10 0 24 Jan 2022
Stein Variational Probabilistic Roadmaps Alexander Lambert Brian Hou Rosario Scalise S. Srinivasa Byron Boots 22 8 0 04 Nov 2021
Planning from Pixels in Environments with Combinatorially Hard Search Spaces Marco Bagatella Miroslav Olsák Michal Rolínek Georg Martius OffRL 23 6 0 12 Oct 2021
Improving Kinodynamic Planners for Vehicular Navigation with Learned Goal-Reaching Controllers Aravind Sivaramakrishnan Edgar Granados Seth Karten T. McMahon Kostas E. Bekris 24 7 0 08 Oct 2021
A Non-uniform Sampling Approach for Fast and Efficient Path Planning James P. Wilson Zongyuan Shen Shalabh Gupta 21 2 0 03 Aug 2021
Cost-to-Go Function Generating Networks for High Dimensional Motion Planning Jinwook Huh Volkan Isler Daniel D. Lee 3DV 41 20 0 10 Dec 2020
Learning and Using Abstractions for Robot Planning Naman Shah Abhyudaya Srinet Siddharth Srivastava 16 2 0 01 Dec 2020
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 19 38 0 29 Oct 2020
Graph Neural Networks for Motion Planning Arbaaz Khan Alejandro Ribeiro Vijay Kumar Anthony G. Francis 27 30 0 11 Jun 2020