DocumentCode :
2778140
Title :
Learning skills from play: Artificial curiosity on a Katana robot arm
Author :
Ngo, Hung ; Luciw, Matthew ; Forster, Alexander ; Schmidhuber, Juergen
Author_Institution :
IDSIA, SUPSI, Manno-Lugano, Switzerland
fYear :
2012
fDate :
10-15 June 2012
Firstpage :
1
Lastpage :
8
Abstract :
Artificial curiosity tries to maximize learning progress. We apply this concept to a physical system. Our Katana robot arm curiously plays with wooden blocks, using vision, reaching, and grasping. It is intrinsically motivated to explore its world. As a by-product, it learns how to place blocks stably, and how to stack blocks.
Keywords :
control engineering computing; learning (artificial intelligence); manipulators; robot vision; Katana robot arm; artificial curiosity; block stacking; grasping; learning progress; learning skills; physical system; reaching; vision; wooden block; Adaptation models; Cameras; Feature extraction; Robot kinematics; Robot sensing systems; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks (IJCNN), The 2012 International Joint Conference on
Conference_Location :
Brisbane, QLD
ISSN :
2161-4393
Print_ISBN :
978-1-4673-1488-6
Electronic_ISBN :
2161-4393
Type :
conf
DOI :
10.1109/IJCNN.2012.6252824
Filename :
6252824
Link To Document :
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