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Fuzzy Control for Active Perceptual Docking

  • Nick Barnes
  • Zhi-Qiang Liu
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 103)

Abstract

The robot is engaged in a docking manœuvre guided by an active perceptual behaviour. In order to dock with an object, the robot must control its heading direction to move directly towards the object. In previous work, we developed a technique in which the robot fixates on the desired target, and corrects its heading direction based on information derived from optical flow data from a log-polar camera. However, the optical flow data derived is noisy. Thus, when the robot direction control is based directly on the optical flow data the resulting path is erratic (see Figure 8.4 in the results section of this chapter). A smooth path is desirable as it reduces strain on motors and simplifies fixation. Furthermore, constant change in direction can result in wheel-slippage, leading to errors in odometry. High quality odometric information is of great advantage for position estimation in mobile robot navigation. Traditional control techniques are not effective in such situations, as it is almost impossible to establish precise models for optical flow data.

Keywords

Mobile Robot Optical Flow Fuzzy Model Fuzzy Control Fuzzy Controller 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Physica-Verlag Heidelberg 2002

Authors and Affiliations

  • Nick Barnes
    • 1
  • Zhi-Qiang Liu
    • 2
  1. 1.Department of Computer Science and Software EngineeringUniversity of MelbourneVictoriaAustralia
  2. 2.School of Creative MediaCity University of Hong-KongHong KongP. R. China

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