Greedy Heuristics for Sampling-Based Motion Planning in High-Dimensional State Spaces
cs.RO
Submitted: 2024-05-06
Updated: 2026-10-09
Comments: 18 pages, 13 figures, 3 tables. Project site: https://papers.starslab.ca/grrtstar
Journal ref: Autonomous Robots, Vol. 50, Article number 44, Oct. 2026
DOI: 10.1007/s10514-026-10269-0
Code: https://github.com/utiasSTARS/ompl
Project page: https://papers.starslab.ca/grrtstar
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Related papers
- FMT x: An Efficient and Asymptotically Optimal Extension of the Fast Marching Tree for Dynamic Replanning
- MPCFormer: A physics-informed data-driven approach for explainable socially-aware autonomous driving
- RoboLab: A High-Fidelity Simulation Benchmark for Analysis of Task Generalist Policies
- ARC: A Reasoning Recipe for Robot Foundation Models
- HRDexDB: A 4D Dexterous Grasping Dataset Across Human and Multiple Robot Embodiments
- APT: Action Expert Pretraining Improves Instruction Generalization of Vision-Language-Action Policies