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Knowledge-driven opto-Acoustic scene analysis based on an object-oriented world modeling approach for humanoid robots

 
: Kühn, B.; Belkin, A.; Swerdlow, A.; Machmer, T.; Beyerer, J.; Kroschel, K.

Verband der Elektrotechnik, Elektronik, Informationstechnik -VDE-:
Joint 41st International Symposium on Robotics and 6th German Conference on Robotics, ISR/ROBOTIK 2010. Vol.2 : Munich, Germany, 7 - 9 June 2010
Red Hook, NY: Curran, 2010
ISBN: 978-1-617-38719-7
S.1296-1303
International Symposium on Robotics (ISR) <41, 2010, Munich>
German Conference on Robotics (ROBOTIK) <6, 2010, Munich>
Englisch
Konferenzbeitrag
Fraunhofer IOSB ()

Abstract
The perception of the environment using opto-Acoustic scene analysis techniques [1] is an extremely important and challenging task for humanoid robots. Thereby, the acquisition of visual and acoustic information provides the basis of the perception and enables the robot to interact with humans and to assist in everyday tasks. Another step is the exploration that allows the robot to actively gather knowledge about the environment. Hereby, the object-oriented world modeling guarantees the maintenance of permanent situation awareness [2][3], which is important for opto-Acoustic scene analysis, cognition and planning. Taking these considerations into account, this paper presents a concept for the knowledge-driven opto-Acoustic scene analysis based on an object-oriented modeling approach. The focus of the paper is put on both, formal conditions and a practical realization of an integrated system.

: http://publica.fraunhofer.de/dokumente/N-263593.html