Abstract
Grasp planning is one of the interesting problems in robotic object manipulation. Besides, evaluation of grasp configuration has an important role in task execution. Therefore the Multi Aspect Grasp (MAG) performance index is defined for evaluating the grasp quality. In this paper, various methods including Particle Swarm Optimization, Genetic Algorithm, and MATLAB optimization toolbox are used to maximize the MAG index for a given task, in order to find the best grasping point. The results of using these methods are compared, in terms of their speed and accuracy, and it will be concluded that the PSO yield more accurate results.
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.
