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Active mobile robot localization

TLDR
The approach provides rational criteria for setting the robot’s motion direction (exploration), and determining the pointing direction of the sensors so as to most efficiently localize the robot.
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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Citations
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A Probabilistic Approach to Collaborative Multi-Robot Localization

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References
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Book

Computer vision

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Planning and Acting in Partially Observable Stochastic Domains

TL;DR: A novel algorithm for solving pomdps off line and how, in some cases, a finite-memory controller can be extracted from the solution to a POMDP is outlined.
Journal Article

Computer vision

TL;DR: How the field of computer (and robot) vision has evolved, particularly over the past 20 years, is described, and its central methodological paradigms are introduced.
Journal ArticleDOI

The dynamic window approach to collision avoidance

TL;DR: This approach, designed for mobile robots equipped with synchro-drives, is derived directly from the motion dynamics of the robot and safely controlled the mobile robot RHINO in populated and dynamic environments.
Book ChapterDOI

Sensor fusion in certainty grids for mobile robots

TL;DR: In this article, a software framework running on processors onboard the new Uranus mobile robot is proposed to maintain a probabilistic, geometric map of the robot's surroundings as it moves.
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