๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Collision avoidance using a model of the locust LGMD neuron

โœ Scribed by Mark Blanchard; F.Claire Rind; Paul F.M.J. Verschure

Book ID
104357419
Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
610 KB
Volume
30
Category
Article
ISSN
0921-8890

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โœฆ Synopsis

The lobula giant movement detector (LGMD) system in the locust responds selectively to objects approaching the animal on a collision course. In earlier work we have presented a neural network model based on the LGMD system which shared this preference for approaching objects.

We have extended this model in order to evaluate its responses in a real-world environment using a miniature mobile robot. This extended model shows reliable obstacle detection over an eight-fold range of speeds, and raises interesting questions about basic properties of the biological system.

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