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Insect inspired behaviours for the autonomous control of mobile robots

Weber, K., Venkatesh, S. and Srinivasan, M. V. 1996, Insect inspired behaviours for the autonomous control of mobile robots, in ICPR 1996 : Proceedings of the 13th international Conference on Pattern Recognition, IEEE, Washington, D. C., pp. 156-160.

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Title Insect inspired behaviours for the autonomous control of mobile robots
Author(s) Weber, K.
Venkatesh, S.
Srinivasan, M. V.
Conference name International Conference on Pattern Recognition (13th : 1996 : Vienna Austria)
Conference location Vienna, Austria
Conference dates 25-29 Aug. 1996
Title of proceedings ICPR 1996 : Proceedings of the 13th international Conference on Pattern Recognition
Editor(s) [Unknown]
Publication date 1996
Conference series International Conference on Pattern Recognition
Start page 156
End page 160
Total pages 5
Publisher IEEE
Place of publication Washington, D. C.
Keyword(s) autonomous mobile robots
distance measurement
insect inspired navigation
insect-based visual guidance
navigation
object range measurement
real time system
visual motion
Summary Animals navigate through various uncontrolled environments with seemingly little effort. Flying insects, especially, are quite adept at manoeuvring in complex, unpredictable and possibly hostile environments. Through both simulation and real-world experiments, we demonstrate the feasibility of equipping a mobile robot with the ability to navigate a corridor environment, in real time, using principles based on insect-based visual guidance. In particular we have used the bees’ navigational strategy of measuring object range in terms of image velocity. We have also shown the viability and usefulness of various other insect behaviours: (i) keeping walls equidistant, (ii) slowing down when approaching an object, (iii) regulating speed according to tunnel width, and (iv) using visual motion as a measure of distance travelled.
Notes This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
ISBN 081867282X
Language eng
Field of Research 080199 Artificial Intelligence and Image Processing not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©1996, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044769

Document type: Conference Paper
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