Summary
In this paper, we propose an object usual places extraction system that is based on mobile robot patrolling a smart space referred to as a “Robotic Room”. The system monitors the user’s daily life, and based on this observation it searches for objects efficiently by narrowing the range of places that the object is likely to be located. In addition, when the robot is not performing other tasks, it moves to the neiborhood of these locations, searches for objects and determines their positions. Finally, the system uses the long-term measurement data to statistically determine the usual places where objects are located. Experimental results demonstrate that the system locates objects in a reasonably fast time and automatically extracts the usual locations of objects from the log data.
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Mori, T., Hosoda, N., Sato, T. (2010). Object Usual Places Extraction in Smart Space: Robotic Room. In: Kaneko, M., Nakamura, Y. (eds) Robotics Research. Springer Tracts in Advanced Robotics, vol 66. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14743-2_10
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DOI: https://doi.org/10.1007/978-3-642-14743-2_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14742-5
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