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Visual homing and surprise detection for cognitive mobile robots using image-based environment representations

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4 Author(s)
Maier, W. ; Media Technol. Group, Tech. Univ. Munchen, Munich, Germany ; Mair, E. ; Burschka, D. ; Steinbach, E.

One important feature of a cognitive system is to perceive and understand its environment and to adapt its actions to changes and unforeseen situations. In this paper, we propose a scheme for visual surprise detection in cognitive mobile robots. With the robot's observation and a set of reference images previously acquired near its current viewpoint, a pixel-wise surprise trigger is computed using Bayesian probabilistic inference techniques. With appropriate mathematical approximations this algorithm can be implemented on modern graphics hardware which nearly allows for real-time surprise detection. In order to refer to prior observations, a mobile robot has to be able to re-localize itself with respect to its environment. Thus, we also present two online image-based homing algorithms which both facilitate the computation of location-independent surprise triggers. Experiments show acceptable results in terms of robust and fast detection of unexpected changes in the environment.

Published in:

Robotics and Automation, 2009. ICRA '09. IEEE International Conference on

Date of Conference:

12-17 May 2009

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