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Combined intention, activity, and motion recognition for a humanoid household robot

: Gehrig, D.; Krauthausen, P.; Rybok, L.; Kuehne, H.; Hanebeck, U.D.; Schultz, T.; Stiefelhagen, R.


Amato, N.M. ; Institute of Electrical and Electronics Engineers -IEEE-; Robotics Society of Japan -RSJ-:
IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2011 : San Francisco, California, USA, 25 - 30 September 2011
Piscataway/NJ: IEEE, 2011
ISBN: 978-1-61284-455-8
ISBN: 978-1-61284-454-1
International Conference on Intelligent Robots and Systems (IROS) <2011, San Francisco/Calif.>
Conference Paper
Fraunhofer IOSB ()

In this paper, a multi-level approach to intention, activity, and motion recognition for a humanoid robot is proposed. Our system processes images from a monocular camera and combines this information with domain knowledge. The recognition works on-line and in real-time, it is independent of the test person, but limited to predefined view-points. Main contributions of this paper are the extensible, multi-level modeling of the robot's vision system, the efficient activity and motion recognition, and the asynchronous information fusion based on generic processing of mid-level recognition results. The complementarity of the activity and motion recognition renders the approach robust against misclassifications. Experimental results on a real-world data set of complex kitchen tasks, e.g., Prepare Cereals or Lay Table, prove the performance and robustness of the multi-level recognition approach.