Abstract
In this paper, fuzzy models obtained on-line and off-line for uncalibrated visual servoing, are proposed and validated for an unicycle mobile robot. This approach will recursively update the inverse fuzzy model based only on measurements, at a given time instant. The uncalibrated approach does not require calibrated kinematic and camera models, as needed in classical visual servoing to obtain the Jacobian. Experimental results obtained in an unicycle mobile robot performing eye-in-hand visual servoing are used to demonstrate the validity of the proposed approach, when compared to the previous developed off-line learning.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
