Abstract
In terms of visual feedback, the process of visual servoing could be characterized by the changes of the visual features. The concept of feature completeness for visual servoing is introduced. If there exists a feature set that varies from the initial state to the target state while the prescribed task is finished, then the feature set is complete for this task. With such a feature set, the visual servoing task is transformed to designing the control algorithm to alter every feature to the corresponding final state optimally. Visual servoing systems are firstly categorized in terms of feature completeness. Then how feature completeness affects the performance of task fulfillment is discussed. The strategy of visual servoing control is investigated based on complete feature sets, incomplete feature sets as well as redundant feature sets, respectively. Finally, simulation and corresponding results are described to demonstrate how feature completeness functions and the advantage of this technique.
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.
