Knowledge-Driven Opto-Acoustic Scene Analysis based on an Object- Oriented World Modeling approach for Humanoid Robots
Konferenz: ISR/ROBOTIK 2010 - ISR 2010 (41st International Symposium on Robotics) and ROBOTIK 2010 (6th German Conference on Robotics)
07.06.2010 - 09.06.2010 in Munich, Germany
Tagungsband: ISR/ROBOTIK 2010
Seiten: 8Sprache: EnglischTyp: PDFPersönliche VDE-Mitglieder erhalten auf diesen Artikel 10% Rabatt
Kühn, Benjamin; Belkin, Andrey; Swerdlow, Alexej; Machmer, Timo; Beyerer, Jürgen (Vision and Fusion Laboratory, Institute for Anthropomatics, Karlsruhe Institute of Technology (KIT), Germany)
Beyerer, Jürgen; Kroschel, Kristian (Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB), Karlsruhe, Germany)
The perception of the environment using opto-acoustic scene analysis techniques 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, 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.