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Document type:
Konferenzbeitrag 
Contribution type:
Textbeitrag / Aufsatz 
Author(s):
Darrin C Bentivegna, Ales Ude, Christopher G Atkeson, Gordon Cheng 
Title:
Humanoid robot learning and game playing using PC-based vision 
Pages contribution:
2449-2454 
Abstract:
This paper describes humanoid robot learning from observation and game playing using information provided by a real-time PC-based vision system. To cope with extremely fast motions that arise in the environment, a visual system capable of perceiving the motion of several objects at 60 fields per second was developed. We have designed a suitable error recovery scheme for our vision system to ensure successful game playing over longer periods of time. To increase the learning rate of the robot it...    »
 
Editor:
IEEE 
Book / Congress title:
IEEE/RSJ international conference on intelligent robots and systems 
Organization:
IEEE 
Date of congress:
30.9.2002-4.10.2002 
Publisher:
IEEE 
Year:
2002 
Pages:
2449-2454