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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.
Author(s): Rind FC; Blanchard M; Verschure PFMJ
Publication type: Article
Publication status: Published
Journal: Robotics and Autonomous Systems
ISSN (print): 0921-8890
ISSN (electronic): 1872-793X
Publisher: Elsevier B.V.
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