DocumentCode :
2169671
Title :
Cooperative Reinforcement Learning: Brief Survey and Application to Bio-insect and Artificial Robot Interaction
Author :
Son, Ji-Hwan ; Ahn, Hyo-Sung
Author_Institution :
Dept. of Mechatron., Gwangju Inst. of Sci. & Technol., Gwangju
fYear :
2008
fDate :
12-15 Oct. 2008
Firstpage :
71
Lastpage :
76
Abstract :
In this paper, we address our on-going research called BRIDS that is a trial to formulate bio-insect and artificial robot interaction based on reinforcement learning. First we briefly review relevant research works in this field. Since cooperation among mobile agents is a key technology, we examine cooperative reinforcement learning. Specifically we will briefly review the concept of area of expertise in cooperative learning area. In fact bio-insect and artificial robot interaction has been studied in Leurre. Our research, however, has a key difference from Leurre in that it is to drive bio-insect by coordination of a group of mobile robots towards a desired point. In author´s best knowledge, driving bio-insect towards a desired point based on fully autonomous coordination of multiple mobile agents has not been studied in existing publications.
Keywords :
human-robot interaction; learning (artificial intelligence); mobile robots; multi-robot systems; artificial robot interaction; autonomous coordination; bioinsect; cooperative reinforcement learning; mobile robots; multiple mobile agents; Algorithm design and analysis; Animals; Artificial intelligence; Distributed control; Intelligent robots; Learning; Mobile robots; Robot kinematics; Robot sensing systems; Service robots; Area of expertise; Bio-insect and artificial Robot Interaction on the base of Distributed Systems (BRIDS); Reinforcement learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechtronic and Embedded Systems and Applications, 2008. MESA 2008. IEEE/ASME International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2367-5
Electronic_ISBN :
978-1-4244-2368-2
Type :
conf
DOI :
10.1109/MESA.2008.4735723
Filename :
4735723
Link To Document :
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