{"language":[{"iso":"eng"}],"department":[{"_id":"DEP1055"}],"user_id":"64589","abstract":[{"text":"This paper presents a robotic system developed to enhance\r\nautomation in construction workflows through advanced AI\r\nand computer vision technologies. The system integrates\r\na robotic arm with a 3D point cloud camera and state-\r\nof-the-art 2D pre-trained Deep Learning models, such as\r\nGroundingDINO and SegmentAnything, to detect and seg-\r\nment construction elements in 3D dynamic, unstructured\r\nenvironments. By processing point cloud data from the cam-\r\nera and aligning it with real-world coordinates, the system\r\nachieves precise object localization, enabling tasks such as\r\nelement handling and assembly. Designed to address chal-\r\nlenges like clutter, occlusion, and variability in construction\r\nsites, this system bridges the gap between controlled labora-\r\ntory conditions and real-world applications. Experimental\r\nevaluations highlight its potential to improve efficiency and\r\nadaptability in construction tasks.","lang":"eng"}],"type":"conference_editor_article","date_created":"2026-09-17T14:27:18Z","status":"public","file_date_updated":"2026-09-17T14:43:28Z","year":"2025","citation":{"mla":"Aykin, Yusuf, et al. “Enhancing Robotic Vision through Deep Learning Techniques: From Detection to Construction.” Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC), edited by Hans Sachs, International Association for Automation and Robotics in Construction (IAARC), 2025, https://doi.org/10.22260/isarc2025/0026.","ama":"Aykin Y, Sachs H, Gerzen N. Enhancing Robotic Vision through Deep Learning Techniques: From Detection to Construction. (Sachs H, ed.). International Association for Automation and Robotics in Construction (IAARC); 2025. doi:10.22260/isarc2025/0026","din1505-2-1":"Aykin, Yusuf ; Sachs, Hans ; Gerzen, Nikolai ; Sachs, H. (Hrsg.): Enhancing Robotic Vision through Deep Learning Techniques: From Detection to Construction : International Association for Automation and Robotics in Construction (IAARC), 2025","chicago-de":"Aykin, Yusuf, Hans Sachs und Nikolai Gerzen. 2025. Enhancing Robotic Vision through Deep Learning Techniques: From Detection to Construction. Hg. von Hans Sachs. Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC). International Association for Automation and Robotics in Construction (IAARC). doi:10.22260/isarc2025/0026, .","ufg":"Aykin, Yusuf/Sachs, Hans/Gerzen, Nikolai: Enhancing Robotic Vision through Deep Learning Techniques: From Detection to Construction, hg. von Sachs, Hans, o. O. 2025.","ieee":"Y. Aykin, H. Sachs, and N. Gerzen, Enhancing Robotic Vision through Deep Learning Techniques: From Detection to Construction. International Association for Automation and Robotics in Construction (IAARC), 2025. doi: 10.22260/isarc2025/0026.","chicago":"Aykin, Yusuf, Hans Sachs, and Nikolai Gerzen. Enhancing Robotic Vision through Deep Learning Techniques: From Detection to Construction. Edited by Hans Sachs. Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC). International Association for Automation and Robotics in Construction (IAARC), 2025. https://doi.org/10.22260/isarc2025/0026.","apa":"Aykin, Y., Sachs, H., & Gerzen, N. (2025). Enhancing Robotic Vision through Deep Learning Techniques: From Detection to Construction. In H. Sachs (Ed.), Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC). International Association for Automation and Robotics in Construction (IAARC). https://doi.org/10.22260/isarc2025/0026","short":"Y. Aykin, H. Sachs, N. Gerzen, Enhancing Robotic Vision through Deep Learning Techniques: From Detection to Construction, International Association for Automation and Robotics in Construction (IAARC), 2025.","van":"Aykin Y, Sachs H, Gerzen N. Enhancing Robotic Vision through Deep Learning Techniques: From Detection to Construction. Sachs H, editor. Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC). International Association for Automation and Robotics in Construction (IAARC); 2025.","bjps":"Aykin Y, Sachs H and Gerzen N (2025) Enhancing Robotic Vision through Deep Learning Techniques: From Detection to Construction, Sachs H (ed.). International Association for Automation and Robotics in Construction (IAARC).","havard":"Y. Aykin, H. Sachs, N. Gerzen, Enhancing Robotic Vision through Deep Learning Techniques: From Detection to Construction, International Association for Automation and Robotics in Construction (IAARC), 2025."},"title":"Enhancing Robotic Vision through Deep Learning Techniques: From Detection to Construction","ddc":["600"],"quality_controlled":"1","doi":"10.22260/isarc2025/0026","publication_identifier":{"issn":["2413-5844"]},"oa":"1","file":[{"relation":"main_file","success":1,"file_size":4708066,"file_name":"ISARC_Robotic_Vision_Yusuf_Aykin.pdf","content_type":"application/pdf","file_id":"14039","date_created":"2026-09-17T14:43:28Z","access_level":"open_access","creator":"fpq-3n9","date_updated":"2026-09-17T14:43:28Z"}],"date_updated":"2026-09-17T14:43:42Z","editor":[{"full_name":"Sachs, Hans","first_name":"Hans","id":"64589","last_name":"Sachs"}],"author":[{"first_name":"Yusuf","full_name":"Aykin, Yusuf","last_name":"Aykin","id":"84542"},{"last_name":"Sachs","id":"64589","first_name":"Hans","full_name":"Sachs, Hans"},{"first_name":"Nikolai","full_name":"Gerzen, Nikolai","last_name":"Gerzen","id":"76704"}],"_id":"14036","publication":"Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)","publication_status":"published","has_accepted_license":"1","keyword":["Computer Vision","Architecture","Building Construction","Robotics in Construction"],"publisher":"International Association for Automation and Robotics in Construction (IAARC)"}