From biology to engineering: insect vision and application to robotics

Srinivasan, Mandyam V., Moore, Richard, Thurrowgood, Saul, Soccol, Dean and Bland, Daniel (2012). From biology to engineering: insect vision and application to robotics. In Friedrich G. Barth, Joseph A. C. Humphrey and Mandyam V. Srinivasan (Ed.), Frontiers in sensing: from biology to engineering (pp. 19-39) Lahnau, Germany: Springer.

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Author Srinivasan, Mandyam V.
Moore, Richard
Thurrowgood, Saul
Soccol, Dean
Bland, Daniel
Title of chapter From biology to engineering: insect vision and application to robotics
Title of book Frontiers in sensing: from biology to engineering
Place of Publication Lahnau, Germany
Publisher Springer
Publication Year 2012
Sub-type Research book chapter (original research)
ISBN 9783211997482
Editor Friedrich G. Barth
Joseph A. C. Humphrey
Mandyam V. Srinivasan
Chapter number 1
Start page 19
End page 39
Total pages 21
Total chapters 28
Collection year 2013
Language eng
Abstract/Summary The past two decades have witnessed a growing interest not only in understanding sensory biology, but also in applying the principles gleaned from these studies to the design of new, biologically inspired sensors for a variety engineering applications. This chapter provides a brief account of this interdisciplinary endeavour in the field of insect vision and flight guidance. Despite their diminutive eyes and brains, flying insects display superb agility and remarkable navigational competence. This review describes our current understanding of how insects use vision to stabilize flight, avoid collisions with objects, regulate flight speed, navigate to a distant food source, and orchestrate smooth landings. It also illustrates how some of these insights from biology are being used to develop novel algorithms for the guidance of terrestrial and airborne vehicles. We use this opportunity to also highlight some of the outstanding questions in this particular area of sensing and control.
Q-Index Code B1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Book Chapter
Collections: Queensland Brain Institute Publications
Official 2013 Collection
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Citation counts: TR Web of Science Citation Count  Cited 4 times in Thomson Reuters Web of Science Article | Citations
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Created: Thu, 12 Jul 2012, 12:02:48 EST by Debra McMurtrie on behalf of Queensland Brain Institute