Augmenting appearance-based localization and navigation using belief update

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Augmenting appearance-based localization and navigation using belief update
Appearance-based localization compares the current image taken from a robot's camera to a set of pre-recorded images in order to estimate the current location of the robot. Such techniques often maintain a graph of images, modeling the dynamics of the image sequence. This graph is used to navigate in the space of images. In this paper we bring a set of techniques together, including Partially-Observable Markov Decision Processes, hierarchical state representations, visual homing, human-robot interactions, and so forth, into the appearance-based approach. Our approach provides a complete solution to the deployment of a robot in a relatively small environment, such as a house, or a work place, allowing the robot to robustly navigate the environment after minimal training. We demonstrate our approach in two environments using a real robot, showing how after a short training session, the robot is able to navigate well in the environment. Categories and Subject Descriptors H.4 [Inform...
George Chrysanthakopoulos, Guy Shani
Added 08 Nov 2010
Updated 08 Nov 2010
Type Conference
Year 2010
Where ATAL
Authors George Chrysanthakopoulos, Guy Shani
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