Title :
Strategy for collaboration in robot soccer
Author :
Sng, H.L. ; Gupta, G. Sen ; Messom, C.H.
Author_Institution :
Singapore Polytech., Singapore
Abstract :
Robot soccer is a challenging platform for multi-agent research, involving topics such as real-time image processing and control, robot path planning, obstacle avoidance and machine learning. The robot soccer game presents an uncertain and dynamic environment for cooperating agents. Dynamic role switching and formation control are crucial for a successful game. The fuzzy logic based strategy described in the paper employs an arbiter which assigns a robot to shoot or pass the ball
Keywords :
collision avoidance; fuzzy logic; mobile robots; multi-agent systems; multi-robot systems; arbiter; collaboration strategy; cooperating agents; dynamic role switching; formation control; fuzzy logic based strategy; machine learning; multi-agent research; obstacle avoidance; real-time image processing; robot path planning; robot soccer; uncertain dynamic environment; Collaboration; Cost function; Fuzzy logic; Image processing; Machine learning; Machine vision; Path planning; Process control; Robot control; Robot sensing systems;
Conference_Titel :
Electronic Design, Test and Applications, 2002. Proceedings. The First IEEE International Workshop on
Conference_Location :
Christchurch
Print_ISBN :
0-7695-1453-7
DOI :
10.1109/DELTA.2002.994644