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• W2394881910 abstract "The presence of children in a social assistive robotics context is particularly challenging for perception, mainly, in the task of locating them using inherently uncertain sensor data. This paper proposes a method for active perception with the goal of finding one target, e.g., a child wearing a RFID tag. This method is based on a particle-filter modeling a probability distribution of the position of the child. Negative measurements are used to update this probability distribution and an information-theoretic approach to determine optimal robot trajectories that maximize information gain while surveying the environment. We present preliminary results, in a real robot, to evaluate the approach." @default.
• W2394881910 created "2016-06-24" @default.
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• W2394881910 date "2015-01-01" @default.
• W2394881910 modified "2023-10-05" @default.
• W2394881910 title "A Particle-Filter Approach for Active Perception in Networked Robot Systems" @default.
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• W2394881910 doi "https://doi.org/10.1007/978-3-319-25554-5_45" @default.
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