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Comparing search algorithms for robotic underground chemical source location

Comparing search algorithms for robotic underground chemical source location This paper proposes criteria for comparing reactive chemical source location algorithms suitable for burrowing robots. These criteria are then applied to three source location algorithms. Chemical leaks from underground structures such as pipelines and storage tanks can be particularly difficult to trace because most things that take place below ground are inaccessible and hidden from view. Automated systems able to locate the sources of such leaks would be very beneficial. An essential component of such systems is their sensory control algorithms. Some of the available source location algorithms suitable for the underground environment have been compared in simulation. However, there has been no comprehensive attempt to propose evaluation criteria and apply them more generally. In this paper three search algorithms are described and evaluated using the proposed criteria. The algorithms are also demonstrated to be effective when tested on a physical burrowing robot searching for a buried chemical source. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Autonomous Robots Springer Journals

Comparing search algorithms for robotic underground chemical source location

Autonomous Robots , Volume 38 (1) – Aug 2, 2014

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References (25)

Publisher
Springer Journals
Copyright
Copyright © 2014 by Springer Science+Business Media New York
Subject
Engineering; Robotics and Automation; Artificial Intelligence (incl. Robotics); Computer Imaging, Vision, Pattern Recognition and Graphics; Control, Robotics, Mechatronics
ISSN
0929-5593
eISSN
1573-7527
DOI
10.1007/s10514-014-9396-x
Publisher site
See Article on Publisher Site

Abstract

This paper proposes criteria for comparing reactive chemical source location algorithms suitable for burrowing robots. These criteria are then applied to three source location algorithms. Chemical leaks from underground structures such as pipelines and storage tanks can be particularly difficult to trace because most things that take place below ground are inaccessible and hidden from view. Automated systems able to locate the sources of such leaks would be very beneficial. An essential component of such systems is their sensory control algorithms. Some of the available source location algorithms suitable for the underground environment have been compared in simulation. However, there has been no comprehensive attempt to propose evaluation criteria and apply them more generally. In this paper three search algorithms are described and evaluated using the proposed criteria. The algorithms are also demonstrated to be effective when tested on a physical burrowing robot searching for a buried chemical source.

Journal

Autonomous RobotsSpringer Journals

Published: Aug 2, 2014

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