Abstract
Random bin picking is often considered primarily to be an object localization problem. However, the determination of a suitable grasp in a given situation is an equally important part of picking chaotically stored objects for which only few solutions exist. This paper presents a novel approach by representing the localized workpieces and possible grasps by a tree and using heuristic search to determine a feasible gripping solution in a short time. The proposed heuristic function is based on collision testing and a statistical evaluation of the likelihood for a collision-free grasp. Finally, the presented search method is experimentally validated.
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.
