ePrints

Collision avoidance using a model of the locust LGMD neuron

Lookup NU author(s): Dr Claire RindORCiD

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.

Abstract

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.

Publication metadata

Author(s): Rind FC; Blanchard M; Verschure PFMJ

Publication type: Article

Publication status: Published

Journal: Robotics and Autonomous Systems

Year: 2000

Volume: 30

Issue: 1

Pages: 17-38

ISSN (print): 0921-8890

ISSN (electronic): 1872-793X

Publisher: Elsevier B.V.

URL: http://dx.doi.org/10.1016/S0921-8890(99)00063-9

DOI: 10.1016/S0921-8890(99)00063-9

Altmetrics

Share