2nd International Conference on Software Engineering and Machine Learning (CONF-SEML 2024) · 2024
Robot learning-enhanced tree-based algorithms for kinodynamic motion planning: A comparative analysis
Research overview
A comparison of tree-based kinodynamic motion-planning methods, including RRT, RRT*, and DIRT, with attention to learned control and planning performance.
Citation · BibTeX
@article{hu2024kinodynamic,
title = {Robot learning-enhanced tree-based algorithms for kinodynamic motion planning: A comparative analysis},
author = {Hu, Liang},
journal = {Applied and Computational Engineering},
volume = {76},
number = {1},
pages = {65--71},
year = {2024},
doi = {10.54254/2755-2721/76/20240565}
}