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Robot navigation: implications from search strategies in exploring crayfish

Published online by Cambridge University Press:  26 May 2009

Edith Heußlein ,
Blair W. Patullo  and
David L. Macmillan
Edith Heußlein
Affiliation:
Department of Zoology, University of Melbourne, Victoria 3010, Australia Hochschule Bremen, Fachbereich 7, Fachrichtung Bionik, Internationaler Studiengang Bionik, Neustadtswall 30, D-28199 Bremen, Germany
Blair W. Patullo*
Affiliation:
Department of Zoology, University of Melbourne, Victoria 3010, Australia
David L. Macmillan
Affiliation:
Department of Zoology, University of Melbourne, Victoria 3010, Australia
*
*Corresponding author. Email: b.patullo@zoology.unimelb.edu.au
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Summary

Biomimetic applications play an important role in informing the field of robotics. One aspect is navigation – a skill automobile robots require to perform useful tasks. A sub-area of this is search strategies, e.g. for search and rescue, demining, exploring surfaces of other planets or as a default strategy when other navigation mechanisms fail. Despite that, only a few approaches have been made to transfer biological knowledge of search mechanisms on surfaces along the ground into biomimetic applications. To provide insight for robot navigation strategies, this study describes the paths a crayfish used to explore terrain. We tracked movement when different sets of sensory input were available. We then tested this algorithm with a computer model crayfish and concluded that the movement of C. destructor has a specialised walking strategy that could provide a suitable baseline algorithm for autonomous mobile robots during navigation.

Keywords

Terrain classificationSearch pathAutonomous robotsNavigationAlgorithmsLocomotion
Type
Article
Information
Robotica , Volume 28 , Issue 3 , May 2010 , pp. 465 - 475
Copyright
Copyright © Cambridge University Press 2009

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