Abstract
Grasp Localization is an important problem in robotic manipulators which fundamentally aims at estimating a pose for the end effector which ensures that the object intended to be grasped does not slip off. This estimation is achieved through exteroceptive sensors used in robots such as vision systems which through features and learning-based approaches. One of the fundamental means to validate such an approach is by simulating the grasp routine for any given geometry and its probable grasp poses. This paper presents the details of a simulation work involving a dual-arm collaborative robot with each arm consisting of seven degrees of freedom. The dual-arm robot performs a grasp routine for a geometry that is imported from CAD software. To perform the simulation the various attributes of the robot are to be observed since the simulated robot is a mimic of a commercially available one.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: IOP Conference Series: Materials Science and Engineering
Disclaimer: 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.