{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/a-visually-plausible-grasping-system-for","title":"A Visually Plausible Grasping System for Object Manipulation and Interaction in Virtual Reality Environments","arxiv_id":"1903.05238","date":"2019-03-12","proceeding":null,"authors":["Sergiu Oprea","Pablo Martinez-Gonzalez","Alberto Garcia-Garcia","John Alejandro Castro-Vargas","Sergio Orts-Escolano","Jose Garcia-Rodriguez"],"abstract":"Interaction in virtual reality (VR) environments is essential to achieve a\npleasant and immersive experience. Most of the currently existing VR\napplications, lack of robust object grasping and manipulation, which are the\ncornerstone of interactive systems. Therefore, we propose a realistic, flexible\nand robust grasping system that enables rich and real-time interactions in\nvirtual environments. It is visually realistic because it is completely\nuser-controlled, flexible because it can be used for different hand\nconfigurations, and robust because it allows the manipulation of objects\nregardless their geometry, i.e. hand is automatically fitted to the object\nshape. In order to validate our proposal, an exhaustive qualitative and\nquantitative performance analysis has been carried out. On the one hand,\nqualitative evaluation was used in the assessment of the abstract aspects such\nas: hand movement realism, interaction realism and motor control. On the other\nhand, for the quantitative evaluation a novel error metric has been proposed to\nvisually analyze the performed grips. This metric is based on the computation\nof the distance from the finger phalanges to the nearest contact point on the\nobject surface. These contact points can be used with different application\npurposes, mainly in the field of robotics. As a conclusion, system evaluation\nreports a similar performance between users with previous experience in virtual\nreality applications and inexperienced users, referring to a steep learning\ncurve.","url_abs":"http://arxiv.org/abs/1903.05238v1","url_pdf":"http://arxiv.org/pdf/1903.05238v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"a-visually-plausible-grasping-system-for","repo_url":"https://github.com/3dperceptionlab/unrealgrasp","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"object","task_name":"Object"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}