A Novel Navigation System for an Autonomous Mobile Robot in an Uncertain Environment
Robotics
2020-06-11 v1
Abstract
In this paper, we developed a new navigation system, which detects obstacles in a sliding window with an adaptive threshold clustering algorithm, classifies the detected obstacles with a decision tree, heuristically predicts potential collision and finds optimal path with a simplified Mophin algorithm. This system has the merits of optimal free-collision path, small memory size and less computing complexity, compared with the state of the arts in robot navigation. The experiments on simulation and a robot for eight scenarios demonstrate that the robot can effectively and efficiently avoid potential collisions with any static or dynamic obstacles in its surrounding environment.
Keywords
Cite
@article{arxiv.2006.04962,
title = {A Novel Navigation System for an Autonomous Mobile Robot in an Uncertain Environment},
author = {Meng-Yuan Chen and Yong-Jian Wu and Hongmei He},
journal= {arXiv preprint arXiv:2006.04962},
year = {2020}
}