{"ID":2849585,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2510.23227","arxiv_id":"2510.23227","title":"Workspace Registration and Collision Detection for Industrial Robotics Applications","abstract":"Motion planning for robotic manipulators relies on precise knowledge of the environment in order to be able to define restricted areas and to take collision objects into account. To capture the workspace, point clouds of the environment are acquired using various sensors. The collision objects are identified by region growing segmentation and VCCS algorithm. Subsequently the point clusters are approximated. The aim of the present paper is to compare different sensors, to illustrate the process from detection to the finished collision environment and to detect collisions between the robot and this environment.","short_abstract":"Motion planning for robotic manipulators relies on precise knowledge of the environment in order to be able to define restricted areas and to take collision objects into account. To capture the workspace, point clouds of the environment are acquired using various sensors. The collision objects are identified by region...","url_abs":"https://arxiv.org/abs/2510.23227","url_pdf":"https://arxiv.org/pdf/2510.23227v1","authors":"[\"Klaus Zauner\",\"Josef El Dib\",\"Hubert Gattringer\",\"Andreas Mueller\"]","published":"2025-10-27T11:24:44Z","proceeding":"cs.RO","tasks":"[\"cs.RO\"]","methods":"[]","has_code":false}