DocumentCode :
2663963
Title :
Lawn Mowing System for Known Areas
Author :
Weiss-Cohen, Miri ; Sirotin, Igal ; Rave, Erez
Author_Institution :
ORT Braude Coll., Karmiel, Israel
fYear :
2008
fDate :
10-12 Dec. 2008
Firstpage :
539
Lastpage :
544
Abstract :
This paper deals with and simulates the mowing of a lawn, which is a continuous planar area, by a mobile robot. The robot is given as input a bitmap of a known geometric area and derives an optimal covering path by implementing and improving the well known on-line Full Scan Spanning Tree Covering (STC) algorithm.The optimal path for continuous area coverage is calculated using a defining Depth First Search (DFS)spanning tree. We enhanced the STC algorithm by optimizing the number of U-turns along the path and allowing the mowing direction to be shifted. Furthermore, because our method uses different sensor information than used by the original algorithm, errors are reduced. The results of our improved algorithm are presented in an example wherein a 3D simulation program mimics the robotpsilas path and provides statistical calculations for testing optimality.
Keywords :
control engineering computing; lawnmowers; mobile robots; path planning; position control; tree searching; 3D simulation program; continuous area coverage; continuous planar area; depth first search spanning tree; lawn mowing system; mobile robot; online full scan spanning tree covering; optimal covering path; Algorithm design and analysis; Cleaning; Educational institutions; Mobile robots; Payloads; Robot motion; Robot sensing systems; Robotics and automation; Runtime; Testing; path planning; robotic area coverage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Modelling Control & Automation, 2008 International Conference on
Conference_Location :
Vienna
Print_ISBN :
978-0-7695-3514-2
Type :
conf
DOI :
10.1109/CIMCA.2008.145
Filename :
5172683
Link To Document :
بازگشت