Title :
Research and realization on multi-robot parking mission strategy
Author :
Yu, Lingli ; Cai, Zixing ; Li, Zhi ; Gao, Pingan
Author_Institution :
Sch. of Inf. Sci. & Eng., Central South Univ., Changsha
Abstract :
Aiming at the complexity and unknown of the modern robot-team parking mission environment, we proposed the maximal obsidional uniform distribution principle, the first nearest parking-point was enclosed by another parking-point according to uniform distribution. Based on it, we used the ldquoHungary Methodrdquo to realize the shortest total path length parking strategy. It was to form a benefit matrix which was composed of each the outside path length of the inclosing circle from robots to parking points, and then the best assignment was obtained by using ldquoHungary Methodrdquo. In this paper, itpsilas also considered two parking assignment strategies, which were shortest system executing time strategy and scope of inclosing circle seeable view strategy. The experiment result is shown that the robot-team can complete the reconnaissance parking mission efficiently. Additionally, the real-time performance is also fine.
Keywords :
mobile robots; multi-robot systems; Hungary method; first nearest parking-point; maximal obsidional uniform distribution principle; multirobot parking mission strategy; parking assignment strategies; robot-team; shortest total path length parking strategy; Information science; Intelligent control; Intelligent robots; Reconnaissance; Robotics and automation; multi-robot; parking; parking-point assignment;
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4593442