Computational Tradeoff in Minimum Obstacle Displacement Planning for Robot Navigation
Robotics
2023-02-15 v1 Artificial Intelligence
Abstract
In this paper, we look into the minimum obstacle displacement (MOD) planning problem from a mobile robot motion planning perspective. This problem finds an optimal path to goal by displacing movable obstacles when no path exists due to collision with obstacles. However this problem is computationally expensive and grows exponentially in the size of number of movable obstacles. This work looks into approximate solutions that are computationally less intensive and differ from the optimal solution by a factor of the optimal cost.
Cite
@article{arxiv.2302.07114,
title = {Computational Tradeoff in Minimum Obstacle Displacement Planning for Robot Navigation},
author = {Antony Thomas and Giulio Ferro and Fulvio Mastrogiovanni and Michela Robba},
journal= {arXiv preprint arXiv:2302.07114},
year = {2023}
}
Comments
Accepted for presentation at the 2023 IEEE International Conference on Robotics and Automation (ICRA)