Collision avoidance using a model of the locust LGMD neuron-Reference-Cited by-同舟云学术

Collision avoidance using a model of the locust LGMD neuron

Published:2000-01 Issue:1-2 Volume:30 Page:17-38
ISSN:0921-8890
Container-title:Robotics and Autonomous Systems
language:en
Short-container-title:Robotics and Autonomous Systems

Author:

Blanchard Mark,Rind F.Claire,Verschure Paul F.M.J.

Publisher

Elsevier BV

Subject

Computer Science Applications,General Mathematics,Software,Control and Systems Engineering

Reference50 articles.

1. J.S. Albus, A.J. Barbera, M.L. Fitzgerald, R.N. Nagel, G.J. VanderBrug, T.E. Wheatley, A measurement and control model for adaptive robots, in: Proceedings of the Tenth International Symposium on Industrial Robots, SME, Dearborn, MI, 1979.

2. Identified octopaminergic neurons provide an arousal mechanism in the locust brain;Bacon;Journal of Neurophysiology,1995

3. J.M. Blanchard, Collision avoidance: A biologically inspired neural network for the detection of approaching objects, Ph.D. Thesis, Faculty of Medicine, University of Newcastle upon Tyne, UK, 1998.

4. A robust layered control system for a mobile robot;Brooks;IEEE Journal of Robotics and Automation RA,1986

5. Connections between descending visual interneurones and metathoracic motoneurones in the locust;Burrows;Journal of Comparative Physiology,1973

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