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Biologically inspiring robot navigation by exploiting optical flow patterns

Record type: Conference or Workshop Item (Paper)

In this paper a novel biologically inspired method is addressed for the robot homing problem where a robot returns to its home position after having explored an a priori unknown environment. The method exploits the optical flow patterns of the landmarks and based on a training data set a probability is inferred between the current snapshot and the snapshots stored in memory. Optical flow, which is not a property of landmarks like color, shape, and size but a property of the camera motion, is used for navigating a robot back to its home position. In addition, optical flow is the only information provided to the system while parameters like position and velocity of the robot are not known. Our method proves to be effective even when the snapshots of the landmarks have been taken from varying distances and velocities.

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Citation

Diamantas, Sotirios, Oikonomidis, Anastasios and Crowder, Richard (2011) Biologically inspiring robot navigation by exploiting optical flow patterns At International Conference on Computer Vision Theory and Applications, Portugal. 05 - 07 Mar 2011.

More information

Submitted date: March 2011
Additional Information: Event Dates: 5-7 March 2011
Venue - Dates: International Conference on Computer Vision Theory and Applications, Portugal, 2011-03-05 - 2011-03-07
Keywords: Optical flow, biologically inspired robot navigation, robot homing, visual navigation, mobile robotics
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 271924
URI: http://eprints.soton.ac.uk/id/eprint/271924
PURE UUID: 8fec4d13-e608-4b54-930e-09478e23576b

Catalogue record

Date deposited: 19 Jan 2011 15:47
Last modified: 18 Jul 2017 06:36

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Contributors

Author: Sotirios Diamantas
Author: Anastasios Oikonomidis
Author: Richard Crowder

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