A vision-based position control methodology to drive mobile robots towards target positions

Haibo Huang*, Dong Sun, Wuwei Chen, James K. Mills

*Corresponding author for this work

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    1 Citation (Scopus)

    Abstract

    In this paper, a simple vision-based position control approach is developed for driving a wheeled mobile robot towards target position(s). The trajectory tracking problem is simplified as a combination of point-to-point movements between every two adjacent targets. The controller contains a velocity and steering angle control, using a proposed visual sensing methodology to measure the distance between the vehicle and the desired position and the desired rotary angle. It is proved that when the control gains are properly chosen, the robot asymptotically converges to the desired target position. The method is simple and easy to implement. Experimental results verify the effectiveness of the proposed approach. © 2005 IEEE.
    Original languageEnglish
    Title of host publication2005 IEEE International Conference on Robotics and Biomimetics, ROBIO
    PublisherIEEE
    Pages369-372
    ISBN (Print)0780393155, 9780780393158
    DOIs
    Publication statusPublished - Jul 2005
    Event2005 IEEE International Conference on Robotics and Biomimetics (ROBIO 2005) - Hong Kong, China
    Duration: 5 Jul 20059 Jul 2005

    Conference

    Conference2005 IEEE International Conference on Robotics and Biomimetics (ROBIO 2005)
    PlaceChina
    CityHong Kong
    Period5/07/059/07/05

    Fingerprint

    Dive into the research topics of 'A vision-based position control methodology to drive mobile robots towards target positions'. Together they form a unique fingerprint.

    Cite this