Hu, Cheng, Arvin, Farshad, Xiong, Caihua and Yue, Shigang (2017) A bio-inspired embedded vision system for autonomous micro-robots: the LGMD case. IEEE Transactions on Cognitive and Developmental Systems, 9 (3). pp. 241-254. ISSN 2379-8920
Full content URL: http://doi.org/10.1109/TCDS.2016.2574624
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2016 HuCheng et. al. 2016 IEEE_TAMD_Bfinal.pdf - Whole Document 6MB |
Item Type: | Article |
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Item Status: | Live Archive |
Abstract
In this paper, we present a new bio-inspired vision system embedded for micro-robots. The vision system takes inspiration from locusts in detecting fast approaching objects. Neurophysiological research suggested that locusts use a wide-field visual neuron called lobula giant movement detector (LGMD) to respond to imminent collisions. In this work, we present the implementation of the selected neuron model by a low-cost ARM processor as part of a composite vision module. As the first embedded LGMD vision module fits to a micro-robot, the developed system performs all image acquisition and processing independently. The vision module is placed on top of a microrobot to initiate obstacle avoidance behaviour autonomously. Both simulation and real-world experiments were carried out to test the reliability and robustness of the vision system. The results of the experiments with different scenarios demonstrated the potential of the bio-inspired vision system as a low-cost embedded module for autonomous robots.
Keywords: | Bio-inspired, LGMD, Collision avoidance, Embedded system, Autonomous robots, Low-cost, NotOAChecked |
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Subjects: | H Engineering > H671 Robotics G Mathematical and Computer Sciences > G400 Computer Science |
Divisions: | College of Science > School of Computer Science |
Related URLs: | |
ID Code: | 25279 |
Deposited On: | 30 Nov 2016 14:38 |
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