Autonomous behavior control subsystem for robotic computer

Successful development of a robotic computer as a mediator in smart environments requires providing a certain level of behavior autonomy to the robot and a capability to adapt its behavior in long-term interaction with the users. We attempt to identify core autonomy-related functionalities and descr...

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Bibliographic Details
Published in2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication pp. 906 - 912
Main Authors Vladimirov, B., Hyun Kim, Namshik Park, Kangwoo Lee, Young-Ho Suh, Hyungsun Kim
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2012
Subjects
Robot sensing systems
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Summary:Successful development of a robotic computer as a mediator in smart environments requires providing a certain level of behavior autonomy to the robot and a capability to adapt its behavior in long-term interaction with the users. We attempt to identify core autonomy-related functionalities and describe the design and implementation of an autonomous behavior control subsystem that provides them. The choice of dual-level behavior model with both rules and connectionist reinforcement learning is motivated by the desire to provide convenient specification of initial behaviors as well as efficient behavior adaptation capability. We present the results of two test scenarios illustrating basic use of the newly provided functionality.
ISBN:9781467346047
1467346047
ISSN:1944-9445
1944-9437
DOI:10.1109/ROMAN.2012.6343866