A Survey on the Integration of Machine Learning with Sampling-based Motion Planning

15 November 2022

T. McMahon

Aravind Sivaramakrishnan

Edgar Granados

Kostas E. Bekris

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Papers citing "A Survey on the Integration of Machine Learning with Sampling-based Motion Planning"

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Title
Generalizable Motion Planning via Operator Learning Sharath Matada Luke Bhan Yuanyuan Shi Nikolay Atanasov 96 0 0 23 Oct 2024
Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks Chen-Ping Yu Sicun Gao 63 49 0 17 Oct 2022
Learning to Retrieve Relevant Experiences for Motion Planning Constantinos Chamzas Aedan Cullen Anshumali Shrivastava Lydia E. Kavraki 48 17 0 18 Apr 2022
MotionBenchMaker: A Tool to Generate and Benchmark Motion Planning Datasets Constantinos Chamzas Carlos Quintero-Peña Zachary Kingston A. Orthey D. Rakita Michael Gleicher Marc Toussaint Lydia E. Kavraki 66 59 0 13 Dec 2021
Leveraging Experience in Lazy Search M. Bhardwaj Sanjiban Choudhury Byron Boots S. Srinivasa 57 13 0 10 Oct 2021
Long-Horizon Manipulation of Unknown Objects via Task and Motion Planning with Estimated Affordances Aidan Curtis Xiaolin Fang L. Kaelbling Tomás Lozano-Pérez Caelan Reed Garrett 207 65 0 09 Aug 2021
Cost-to-Go Function Generating Networks for High Dimensional Motion Planning Jinwook Huh Volkan Isler Daniel D. Lee 3DV 50 21 0 10 Dec 2020
Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning Brian Ichter P. Sermanet Corey Lynch 75 38 0 13 Oct 2020
Learning Obstacle Representations for Neural Motion Planning Robin Strudel Ricardo Garcia Pinel Justin Carpentier J. Laumond Ivan Laptev Cordelia Schmid SSL 50 35 0 25 Aug 2020
Dynamically Constrained Motion Planning Networks for Non-Holonomic Robots Jacob J. Johnson Linjun Li Fei Liu A. H. Qureshi Michael C. Yip 45 29 0 12 Aug 2020
Learning compositional models of robot skills for task and motion planning Zi Wang Caelan Reed Garrett L. Kaelbling Tomás Lozano-Pérez 84 108 0 08 Jun 2020
Planning and Execution using Inaccurate Models with Provable Guarantees Anirudh Vemula Yash Oza J. Andrew Bagnell Maxim Likhachev 49 18 0 09 Mar 2020
Learning When to Trust a Dynamics Model for Planning in Reduced State Spaces D. Mcconachie Thomas Power Peter Mitrano Dmitry Berenson 55 35 0 29 Jan 2020
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum George Konidaris 118 366 0 06 Jul 2019
Harnessing Reinforcement Learning for Neural Motion Planning Tom Jurgenson Aviv Tamar OOD 88 65 0 01 Jun 2019
Using Local Experiences for Global Motion Planning Constantinos Chamzas Anshumali Shrivastava Lydia E. Kavraki 69 42 0 20 Mar 2019
Learning-Based Proxy Collision Detection for Robot Motion Planning Applications Nikhil Das Michael C. Yip 50 92 0 21 Feb 2019
Learning to guide task and motion planning using score-space representation Beomjoon Kim Zi Wang L. Kaelbling Tomas Lozano-Perez 69 91 0 26 Jul 2018
The Limits and Potentials of Deep Learning for Robotics Niko Sünderhauf Oliver Brock Walter J. Scheirer R. Hadsell Dieter Fox ... B. Upcroft Pieter Abbeel Wolfram Burgard Michael Milford Peter Corke 82 530 0 18 Apr 2018
PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-based Planning Aleksandra Faust Oscar Ramirez Marek Fiser Kenneth Oslund Anthony G. Francis James Davidson Lydia Tapia 80 292 0 11 Oct 2017
Continuous-Time Gaussian Process Motion Planning via Probabilistic Inference Mustafa Mukadam Jing Dong Xinyan Yan F. Dellaert Byron Boots GP 57 216 0 24 Jul 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 493 14,371 0 02 Dec 2016
Asymptotically Optimal Planning by Feasible Kinodynamic Planning in State-Cost Space Kris K. Hauser Yilun Zhou 59 96 0 15 May 2015
Asymptotically Optimal Sampling-based Kinodynamic Planning Yanbo Li Zakary Littlefield Kostas E. Bekris 82 267 0 10 Jul 2014
Sampling-based Algorithms for Optimal Motion Planning S. Karaman Emilio Frazzoli 107 4,700 0 05 May 2011