Abstract
This paper describes the control of a flexible arm robot using genetic algorithm (GA). GA simulates the general process of the natural evolutioos and GA has been applied to many analyses of the engineering problems. It is very difficult to solve the inverse kinaoatics of the flexible arm robot. GA technique is tried to apply to analyzing such problems. The flexible arm of the robot is divided into small parts and the robot becomes a many degrees of freedom robot. The proposed method is applied to the robot like this aId the effectiveness of the method is shown.
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.
