Motion Planning as Online Learning: A Multi-Armed Bandit Approach to Kinodynamic Sampling-Based Planning

26 August 2023

Papers citing "Motion Planning as Online Learning: A Multi-Armed Bandit Approach to Kinodynamic Sampling-Based Planning"

4 / 4 papers shown

Title
KRRF: Kinodynamic Rapidly-exploring Random Forest algorithm for multi-goal motion planning Petr Ježek Michal Minařík Vojtěch Vonásek Robert Pěnička 18 1 0 09 May 2025
Stochastic Trajectory Optimization for Robotic Skill Acquisition From a Suboptimal Demonstration Chenlin Ming Zitong Wang Boxuan Zhang Xiaoming Duan Jianping He Jianping He 18 0 0 06 Aug 2024
Online Adaptation of Sampling-Based Motion Planning with Inaccurate Models M. Faroni Dmitry Berenson TTA OffRL 21 0 0 12 Mar 2024
Adaptive Hybrid Local-Global Sampling for Fast Informed Sampling-Based Optimal Path Planning M. Faroni N. Pedrocchi M. Beschi 18 2 0 19 Aug 2022