ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2103.00448
  4. Cited By
Path Planning for Manipulation using Experience-driven Random Trees

Path Planning for Manipulation using Experience-driven Random Trees

IEEE Robotics and Automation Letters (RA-L), 2021
28 February 2021
Éric Pairet
Constantinos Chamzas
Y. Pétillot
Lydia E. Kavraki
ArXiv (abs)PDFHTML

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

11 / 11 papers shown
COVER:COverage-VErified Roadmaps for Fixed-time Motion Planning in Continuous Semi-Static Environments
COVER:COverage-VErified Roadmaps for Fixed-time Motion Planning in Continuous Semi-Static Environments
Niranjan Kumar Ilampooranan
Constantinos Chamzas
129
1
0
04 Oct 2025
Path Database Guidance for Motion Planning
Path Database Guidance for Motion Planning
A. Attali
Praval Telagi
M. Morales
Nancy M. Amato
303
1
0
07 Apr 2025
Experience-based Optimal Motion Planning Algorithm for Solving Difficult Planning Problems Using a Limited Dataset
Experience-based Optimal Motion Planning Algorithm for Solving Difficult Planning Problems Using a Limited DatasetIEEE Robotics and Automation Letters (IEEE RA-L), 2025
Ryota Takamido
Jun Ota
276
0
0
19 Mar 2025
CoverLib: Classifiers-equipped Experience Library by Iterative Problem Distribution Coverage Maximization for Domain-tuned Motion Planning
CoverLib: Classifiers-equipped Experience Library by Iterative Problem Distribution Coverage Maximization for Domain-tuned Motion PlanningIEEE Transactions on robotics (IEEE Trans. Robot.), 2024
Hirokazu Ishida
Naoki Hiraoka
K. Okada
Masayuki Inaba
459
3
0
24 Feb 2025
Motion Memory: Leveraging Past Experiences to Accelerate Future Motion
  Planning
Motion Memory: Leveraging Past Experiences to Accelerate Future Motion PlanningIEEE International Conference on Robotics and Automation (ICRA), 2023
Dibyendu Das
Yuanjie Lu
Erion Plaku
Xuesu Xiao
494
17
0
09 Oct 2023
Reinforcement Learning in Robotic Motion Planning by Combined
  Experience-based Planning and Self-Imitation Learning
Reinforcement Learning in Robotic Motion Planning by Combined Experience-based Planning and Self-Imitation Learning
Sha Luo
Lambert Schomaker
291
20
0
11 Jun 2023
Learning to Retrieve Relevant Experiences for Motion Planning
Learning to Retrieve Relevant Experiences for Motion PlanningIEEE International Conference on Robotics and Automation (ICRA), 2022
Constantinos Chamzas
Aedan Cullen
Anshumali Shrivastava
Lydia E. Kavraki
300
20
0
18 Apr 2022
Underwater Robot Manipulation: Advances, Challenges and Prospective
  Ventures
Underwater Robot Manipulation: Advances, Challenges and Prospective VenturesOceans (OCEANS), 2022
Sara Aldhaheri
G. D. Masi
Éric Pairet
Paola Ardón
160
32
0
09 Jan 2022
MotionBenchMaker: A Tool to Generate and Benchmark Motion Planning
  Datasets
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
286
77
0
13 Dec 2021
Robowflex: Robot Motion Planning with MoveIt Made Easy
Robowflex: Robot Motion Planning with MoveIt Made EasyIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Zachary Kingston
Lydia E. Kavraki
314
26
0
23 Mar 2021
Online Mapping and Motion Planning under Uncertainty for Safe Navigation
  in Unknown Environments
Online Mapping and Motion Planning under Uncertainty for Safe Navigation in Unknown EnvironmentsIEEE Transactions on Automation Science and Engineering (T-ASE), 2020
Éric Pairet
J. D. Hernández
M. Carreras
Y. Pétillot
Morteza Lahijanian
290
45
0
26 Apr 2020
1
Page 1 of 1