DocumentCode :
382888
Title :
Behavior acquisition method based on embodiment for vision-based agent
Author :
Terada, Kazunori ; Nakamura, T. ; Takeda, Hideaki
Author_Institution :
Dept. of Inf. Sci., Gifu Univ., Japan
Volume :
1
fYear :
2002
fDate :
2002
Firstpage :
964
Abstract :
A method for behavior acquisition that considers embodiment by associating tactile information to visual input is described. An agent that acts in the physical world always suffers constraints derived from embodiment. On the other hand, embodiment plays a very important role in the formation of visual function. Philosophical and clinical medicine findings assert that vision does not function without learning through experiences of haptic motion. In this paper, we discuss the relation between vision, embodiment, and behavior. We develop a method for behavior acquisition through associating vision and tactile sensors. We perform experiments of obstacle avoidance using a computer simulation and a real agent to test the validity of our method.
Keywords :
collision avoidance; mobile agents; mobile robots; robot vision; tactile sensors; unsupervised learning; Markov decision problem; behavior acquisition method; computer simulation; embodiment; haptic motion; learning through experience; obstacle avoidance; real agent; tactile information; vision-based agent; visual input; Computer simulation; Computer vision; Haptic interfaces; Informatics; Information science; Performance evaluation; Shape; Tactile sensors; Testing; Tiles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems, 2002. IEEE/RSJ International Conference on
Print_ISBN :
0-7803-7398-7
Type :
conf
DOI :
10.1109/IRDS.2002.1041515
Filename :
1041515
Link To Document :
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