Title :
Role Assignment Strategy for Heterogeneous Robots Based on Fuzzy Evaluation And Fuzzy Inference
Author :
Miao, Kehua ; Li, Maoqing
Author_Institution :
Dept. of Autom., Xiamen Univ.
Abstract :
Role assignment according to robot features is a crucial step in the coordination of multiple heterogeneous robots. This paper presents a strategy to pick heterogeneous players and form a soccer team in the RoboCup simulation environment, which is a multi-robot coordination research platform. Using fuzzy evaluation and fuzzy inference, we identify the most suitable role in a soccer team for a given heterogeneous robot. In games, the team based on this strategy showed significantly better performance compared to a team based on the previous hand-tuning solution
Keywords :
fuzzy reasoning; mobile robots; multi-robot systems; sport; RoboCup simulation environment; fuzzy evaluation; fuzzy inference; multiple heterogeneous robots; multirobot coordination; role assignment; soccer team; Acceleration; Artificial intelligence; Cities and towns; Fuzzy sets; Intelligent robots; Qualifications; Robot kinematics; Robotics and automation; Turning; Virtual manufacturing; RoboCup; fuzzy comprehensive; multi robots coordination; simulation;
Conference_Titel :
Control, Automation, Robotics and Vision, 2006. ICARCV '06. 9th International Conference on
Conference_Location :
Singapore
Print_ISBN :
1-4244-0341-3
Electronic_ISBN :
1-4214-042-1
DOI :
10.1109/ICARCV.2006.345441