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Collision avoidance using a model of the locust LGMD neuron

Lookup NU author(s): Dr Claire RindORCiD


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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.


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


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