Mitchinson, B., Pearson, M. J., Pipe, A. G. et al. (1 more author) (2014) Biomimetic tactile target acquisition, tracking and capture. Robotics and Autonomous Systems, 62 (3). pp. 366-375. ISSN 0921-8890
Abstract
Good performance in unstructured/uncertain environments is an ongoing problem in robotics; in biology, it is an everyday observation. Here, we model a particular biological system - hunting in the Etruscan shrew - as a case study in biomimetic robot design. These shrews strike rapidly and accurately after gathering very limited sensory information from their whiskers; we attempt to mimic this performance by using model-based simultaneous discrimination and localisation of a 'prey' robot (i.e. by using strong priors to make sense of limited sensory data), building on our existing low-level models of attention and appetitive behaviour in small mammals. We report performance that is comparable, given the spatial and temporal scale differences, to shrew performance, and discuss what this study reveals about biomimetic robot design in general. © 2013 Elsevier B.V. All rights reserved.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2014 Elsevier. This is an author produced version of a paper subsequently published in Robotics and Autonomous Systems. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
Keywords: | Biomimetic; Tactile; Whiskers; Autonomous mobile robotics |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > Department of Psychology (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 16 Nov 2016 14:19 |
Last Modified: | 20 Mar 2018 23:05 |
Published Version: | http://dx.doi.org/10.1016/j.robot.2013.08.013 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.robot.2013.08.013 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:107056 |