GrasSmart: An intelligent robotic system for continuous area coverage

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Abstract

This work implements and simulates the problem known as, coverage of a continuous planar area by a mobile robot. The robot is given a bitmap of a known geometric area as an input, and derives an optimal path of coverage by implementing and improving the On-line Full Scan Spanning Tree Covering (STC) algorithm[1]. The path is calculated for the continuous area coverage by defining a DFS (Depth First Search) spanning tree. We improved the STCalgorithm by optimizing U-Turns of the path, and optimizing the shifting of the path directions, moreover, we suggest using different sensor information, which reduces errors. The results of our work are presented by a 3D simulation program which mimics the grass robots' path and statistical calculations for testing optimality. © 2008 Springer-Verlag Berlin Heidelberg.

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APA

Weiss-Cohen, M., Sirotin, I., & Rave, E. (2008). GrasSmart: An intelligent robotic system for continuous area coverage. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5177 LNAI, pp. 650–657). Springer Verlag. https://doi.org/10.1007/978-3-540-85563-7_82

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