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Locust Looming Detectors for Robot Sensors

Lookup NU author(s): Dr Claire RindORCiD, Dr Roger Santer


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Visual systems in the animal kingdom are incredibly good at extracting useful information from what can often be a very complicated world. Many of these systems can provide inspiration for the design of our own 'seeing machines' which we can then use in a variety of applications. Our own research is concerned with the detection of 'looming' or motion in depth. Our biological inspiration is the locust, Locusta migratoria, which possesses two uniquely identifiable neurons (the LGMD and DCMD) that respond preferentially to movements directly towards the animal. The way in which these cells are able to identify such stimuli is now becomming well understood. As such, we have been able to create a plausible computational model of the afferent inputs to these neurons that has been shown to respond in a locust-like way to looming stimuli. This model is now being used to control the movements of a mobile robot within a simplified visual environment. We aim to continue the development of this model so that it may one day function within the same visual world as the locust itself.

Publication metadata

Author(s): Rind FC, Santer RD, Blanchard JM, Verschure PFMJ

Editor(s): Barth, FG; Humphrey, JAC; Secomb, TW;

Publication type: Book Chapter

Publication status: Published

Book Title: Sensors and Sensing in Biology and Engineering

Year: 2003

Pages: 237-250

Publisher: Springer

Place Published: New York, USA

Library holdings: Search Newcastle University Library for this item

ISBN: 9783211837719