DocumentCode
350126
Title
Learning to localize itself-vision-motor association for legged robot
Author
Miyashita, T. ; Doi, S. ; Asada, M. ; Hosoda, K.
Author_Institution
Adaptive Machine Syst., Osaka Univ., Japan
Volume
6
fYear
1999
fDate
1999
Firstpage
704
Abstract
Presents a method that acquires a vision-motor association for a legged robot as a bottom-up technique for self-localization by action based perception categorization. By the method, the legged robot can move to the position where it can capture the desired view. The validity of the method is shown by a preliminary experiment, and future work is described
Keywords
Jacobian matrices; force sensors; image sensors; legged locomotion; robot vision; action based perception categorization; bottom-up technique; legged robot; self-localization; vision-motor association; Adaptive systems; Cameras; Cognitive robotics; Leg; Legged locomotion; Machine learning; Mobile robots; Reflection; Robot sensing systems; 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.1999.816637
Filename
816637
Link To Document