Abstract
At a time the robots become an important part of our lives by carrying them many tasks that require strength and accuracy, controlling these robots and giving them high accuracy and performance has become the focus of attention of workers in this field. In this research, one of the problems of controlling the robot arm is represented, where the problems of the forward and inverse kinematics have been addressed and find solutions to it using the artificial intelligence algorithm fuzzy Neural Petri net. The Matlab program was used to simulate the forward and reverse kinematics equations and then use the simulation results as data (inputs, outputs) for the proposed algorithm and run the program to update weights and give the required results depending on the ratio mean square error given.
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.
