DocumentCode :
1663597
Title :
Cooperative works for agent robot and human using robot vision based on the model of knowledge, emotion and intention
Author :
Yamaguchi, Toru ; Mizuno, Shinya ; Yoshida, Takuya ; Hashimoto, Tomomi
Author_Institution :
Dept. of Inf. Sci., Utsunomiya Univ., Japan
Volume :
2
fYear :
1999
fDate :
6/21/1905 12:00:00 AM
Firstpage :
987
Abstract :
In recent years, emphasis has been placed upon the development of a welfare support system that takes into account the aging society. Realization of cooperative work between welfare agent robots (following agent robots) that support a user and the user in a welfare system is indispensable. For that purpose, all agent robots have a common control mechanism, and cooperative work between the agents and the human is generated through the dynamic determination of each robot´s actions. Furthermore, even when an agent robot is performing a task, it is desirable for it to observe the user spontaneously. Robot vision is constructed using a model of knowledge, emotion and intention, from which welfare oriented active vision is realized. In this paper, we report a technique for realizing this robot-human cooperation, and demonstrate the validity of welfare oriented active vision
Keywords :
active vision; handicapped aids; medical robotics; mobile robots; multi-agent systems; robot vision; aging society; control mechanism; cooperative work; emotion; human; intention; knowledge; robot vision; robot-human cooperation; welfare agent robots; welfare oriented active vision; Aging; Collaborative work; Humans; Image converters; Information science; Internet; Knowledge engineering; Power generation economics; Road transportation; Robot vision systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
Conference_Location :
Tokyo
ISSN :
1062-922X
Print_ISBN :
0-7803-5731-0
Type :
conf
DOI :
10.1109/ICSMC.1999.825397
Filename :
825397
Link To Document :
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