Complete coverage navigation of clean robot based on triangular cell map

This paper presents a novel navigation method of the clean robot in the unknown workspace. In order to do this, we propose a map representation method and a complete coverage navigation method. First, we discuss a triangular cell map representation which makes the clean robot navigate a shorter path and more flexibly than a rectangular cell map representation due to the increase in the navigation direction. Then, we propose a complete coverage navigation and map construction method which enables the clean robot to navigate the workspace completely, although it has perfectly no information about the environment. Finally, we evaluate the performance of our proposed triangular cell map compared with that of the rectangular cell map via the existing distance transform path planning method. We also verify the proposed complete coverage navigation method through several examples and computer simulations.

[1]  Yoram Koren,et al.  Obstacle avoidance with ultrasonic sensors , 1988, IEEE J. Robotics Autom..

[2]  Alexander Zelinsky,et al.  A mobile robot exploration algorithm , 1992, IEEE Trans. Robotics Autom..

[3]  Ryo Kurazume,et al.  Development of a Cleaning Robot System with Cooperative Positioning System , 2000, Auton. Robots.

[4]  Alexander Zelinsky,et al.  Using Path Transforms to Guide the Search for Findpath in 2D , 1994, Int. J. Robotics Res..

[5]  Jong Hwan Lim,et al.  Physically based sensor modeling for a sonar map in a specular environment , 1992, Proceedings 1992 IEEE International Conference on Robotics and Automation.

[6]  Hans P. Moravec,et al.  High resolution maps from wide angle sonar , 1985, Proceedings. 1985 IEEE International Conference on Robotics and Automation.

[7]  Gisbert Lawitzky A Navigation System for Cleaning Robots , 2000, Auton. Robots.