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IJCAI 1997

Active Mobile Robot Localization

Conference Paper Ioannis M. Rekleitis, Gregory Dudek, and Evangelos E. Milios 1340 Artificial Intelligence

Abstract

Localization is the problem of determining the position of a mobile robot from sensor data. Most existing localization approaches are passive, i. e. , they do not exploit the opportunity to control the robot's effectors during localization. This paper proposes an active localization approach. The approach provides rational criteria for (1) setting the robot's motion direction (exploration), and (2) determining the pointing direction of the sensors so as to most efficiently localize the robot. Furthermore, it is able to deal with noisy sensors and approximative world models. The appropriateness of our approach is demonstrated empirically using a mobile robot in a structured office environment.

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Context

Venue
International Joint Conference on Artificial Intelligence
Archive span
1969-2025
Indexed papers
14525
Paper id
677071099017492633
v2026.09.13