A C.elegans inspired robotic model for pothole detection
Lones, J, Cohn, AG and Cohen, N
(2017)
A C.elegans inspired robotic model for pothole detection.
In:
Proceedings of NIPS 2017 Worksop on Worm's Neural Information Processing.
31st Conference on Neural Information Processing Systems (NIPS 2017), 04-09 Dec 2017, Long Beach, California USA.
, pp. 1-4.
Abstract
Animals navigate complex and variable environments, but often use only limited sensory information. Here we present a simulated robot system using a C. elegans inspired sensory model and navigation strategy and demonstrate its ability to successfully identify specific, discretely located cues. We show a range of conditions under which this approach has performance benefits over other search strategies.
Metadata
Item Type:
Proceedings Paper
Authors/Creators:
Lones, J
Cohn, AG
Cohen, N
Copyright, Publisher and Additional Information:
This paper is published in Proceedings of NIPS 2017 Worksop on Worm's Neural Information Processing, available online via https://sites.google.com/site/wwnip2017/acceptedpapers.
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