Path Planning for Manipulation using Experience-driven Random Trees

Path Planning for Manipulation using Experience-driven Random Trees

28 February 2021

Constantinos Chamzas

Lydia E. Kavraki

Papers citing "Path Planning for Manipulation using Experience-driven Random Trees"

11 / 11 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
Self-Assessment of Grasp Affordance Transfer Paola Ardón Éric Pairet Ronald P. A. Petrick S. Ramamoorthy Katrin S. Lohan 41 14 0 04 Jul 2020
Motion Planning through Demonstration to Deal with Complex Motions in Assembly Process Yan Wang Rubens Montanha S. Musse 34 3 0 04 Oct 2019
Experience Reuse with Probabilistic Movement Primitives Svenja Stark Jan Peters Elmar Rueckert 36 11 0 11 Aug 2019
Learning Generalisable Coupling Terms for Obstacle Avoidance via Low-dimensional Geometric Descriptors Éric Pairet Paola Ardón M. Mistry Y. Pétillot 41 27 0 24 Jun 2019
Learning and Composing Primitive Skills for Dual-arm Manipulation Éric Pairet Paola Ardón M. Mistry Y. Pétillot 37 10 0 25 May 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 40 28 0 08 Mar 2019
Online Learning of a Memory for Learning Rates Franziska Meier Daniel Kappler S. Schaal 54 21 0 20 Sep 2017
Learning Sampling Distributions for Robot Motion Planning Brian Ichter James Harrison Marco Pavone 39 353 0 16 Sep 2017
Experience-Based Planning with Sparse Roadmap Spanners D.M. Coleman I. Sucan Mark Moll K. Okada N. Correll 79 77 0 08 Oct 2014