Title :
Situation based task selection mechanism for interactive robot system
Author :
Baek, Seung-Min ; Tachibana, Daisuke ; Arai, Fumihito ; Fukuda, Toshio
Author_Institution :
Dept. of Micro Syst. Eng., Nagoya Univ., Japan
fDate :
28 Sept.-2 Oct. 2004
Abstract :
This paper presents a situation-based task selection mechanism which enables a life supporting robot system to perform tasks-based on the user´s situation. Stimulated by interactions between robot and user, this mechanism constructs and updates the association between the user´s situation and tasks so that the robot could adapt to user´s behaviors related to the robot´s tasks effectively. For the user adaptation, radial basis function networks (RBFN) and associative learning algorithms are used. The proposed mechanism is applied to CRF3 (character robot face 3) system to prove its feasibility and effectiveness.
Keywords :
interactive systems; learning (artificial intelligence); man-machine systems; radial basis function networks; robots; associative learning algorithms; character robot face; interactive robot system; radial basis function networks; task selection mechanism; Ambient intelligence; Communication channels; Computer networks; Home appliances; Human robot interaction; Medical robotics; Pervasive computing; Radial basis function networks; Radiofrequency identification; Systems engineering and theory;
Conference_Titel :
Intelligent Robots and Systems, 2004. (IROS 2004). Proceedings. 2004 IEEE/RSJ International Conference on
Print_ISBN :
0-7803-8463-6
DOI :
10.1109/IROS.2004.1389996
