[{"language":[{"iso":"eng"}],"conference":{"location":"Montreal, Canada","end_date":"2025-07-31","start_date":"2025-07-28","name":"42th International Symposium on Automation and Robotics in Construction "},"status":"public","ddc":["600"],"editor":[{"full_name":"Zhang, Jiansong","last_name":"Zhang","first_name":"Jiansong"},{"first_name":"Qian","last_name":"Chen","full_name":"Chen, Qian"},{"last_name":"Lee","first_name":"Gaang","full_name":"Lee, Gaang"},{"full_name":"Gonzalez, Vicente A.","first_name":"Vicente A.","last_name":"Gonzalez"},{"full_name":"Kamat, Vineet","last_name":"Kamat","first_name":"Vineet"}],"publication_identifier":{"eisbn":["978-0-6458322-2-8"],"eissn":["2413-5844"]},"title":"Enhancing Robotic Vision through Deep Learning Techniques: From Detection to Construction","publication":"Proceedings of the 42th International Symposium on Automation and Robotics in Construction : Montreal, Canada, July 28-31, 2025","publication_status":"published","citation":{"ufg":"<b>Aykin, Yusuf/Sachs, Hans/Gerzen, Nikolai</b>: Enhancing Robotic Vision through Deep Learning Techniques: From Detection to Construction, hg. von Zhang, Jiansong u. a., o. O. 2025.","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.","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.","ieee":"Y. Aykin, H. Sachs, and N. Gerzen, <i>Enhancing Robotic Vision through Deep Learning Techniques: From Detection to Construction</i>. International Association for Automation and Robotics in Construction (IAARC), 2025. doi: <a href=\"https://doi.org/10.22260/isarc2025/0026\">10.22260/isarc2025/0026</a>.","van":"Aykin Y, Sachs H, Gerzen N. Enhancing Robotic Vision through Deep Learning Techniques: From Detection to Construction. Zhang J, Chen Q, Lee G, Gonzalez VA, Kamat V, International Association for Automation and Robotics in Construction, et al., editors. Proceedings of the 42th International Symposium on Automation and Robotics in Construction : Montreal, Canada, July 28-31, 2025. International Association for Automation and Robotics in Construction (IAARC); 2025.","bjps":"<b>Aykin Y, Sachs H and Gerzen N</b> (2025) <i>Enhancing Robotic Vision through Deep Learning Techniques: From Detection to Construction</i>, Zhang J et al. (eds). International Association for Automation and Robotics in Construction (IAARC).","din1505-2-1":"<span style=\"font-variant:small-caps;\">Aykin, Yusuf</span> ; <span style=\"font-variant:small-caps;\">Sachs, Hans</span> ; <span style=\"font-variant:small-caps;\">Gerzen, Nikolai</span> ; <span style=\"font-variant:small-caps;\">Zhang, J.</span> ; <span style=\"font-variant:small-caps;\">Chen, Q.</span> ; <span style=\"font-variant:small-caps;\">Lee, G.</span> ; <span style=\"font-variant:small-caps;\">Gonzalez, V. A.</span> ; <span style=\"font-variant:small-caps;\">Kamat, V.</span> ; <span style=\"font-variant:small-caps;\">International Association for Automation and Robotics in Construction</span> ; <span style=\"font-variant:small-caps;\">nternational Symposium on Automation and Robotics in Construction</span> (Hrsg.): <i>Enhancing Robotic Vision through Deep Learning Techniques: From Detection to Construction</i> : International Association for Automation and Robotics in Construction (IAARC), 2025","chicago-de":"Aykin, Yusuf, Hans Sachs und Nikolai Gerzen. 2025. <i>Enhancing Robotic Vision through Deep Learning Techniques: From Detection to Construction</i>. Hg. von Jiansong Zhang, Qian Chen, Gaang Lee, Vicente A. Gonzalez, Vineet Kamat, International Association for Automation and Robotics in Construction, und nternational Symposium on Automation and Robotics in Construction. <i>Proceedings of the 42th International Symposium on Automation and Robotics in Construction : Montreal, Canada, July 28-31, 2025</i>. International Association for Automation and Robotics in Construction (IAARC). doi:<a href=\"https://doi.org/10.22260/isarc2025/0026\">10.22260/isarc2025/0026</a>, .","apa":"Aykin, Y., Sachs, H., &#38; Gerzen, N. (2025). Enhancing Robotic Vision through Deep Learning Techniques: From Detection to Construction. In J. Zhang, Q. Chen, G. Lee, V. A. Gonzalez, V. Kamat, International Association for Automation and Robotics in Construction, &#38; nternational Symposium on Automation and Robotics in Construction (Eds.), <i>Proceedings of the 42th International Symposium on Automation and Robotics in Construction : Montreal, Canada, July 28-31, 2025</i>. International Association for Automation and Robotics in Construction (IAARC). <a href=\"https://doi.org/10.22260/isarc2025/0026\">https://doi.org/10.22260/isarc2025/0026</a>","mla":"Aykin, Yusuf, et al. “Enhancing Robotic Vision through Deep Learning Techniques: From Detection to Construction.” <i>Proceedings of the 42th International Symposium on Automation and Robotics in Construction : Montreal, Canada, July 28-31, 2025</i>, edited by Jiansong Zhang et al., International Association for Automation and Robotics in Construction (IAARC), 2025, <a href=\"https://doi.org/10.22260/isarc2025/0026\">https://doi.org/10.22260/isarc2025/0026</a>.","ama":"Aykin Y, Sachs H, Gerzen N. <i>Enhancing Robotic Vision through Deep Learning Techniques: From Detection to Construction</i>. (Zhang J, Chen Q, Lee G, et al., eds.). International Association for Automation and Robotics in Construction (IAARC); 2025. doi:<a href=\"https://doi.org/10.22260/isarc2025/0026\">10.22260/isarc2025/0026</a>","chicago":"Aykin, Yusuf, Hans Sachs, and Nikolai Gerzen. <i>Enhancing Robotic Vision through Deep Learning Techniques: From Detection to Construction</i>. Edited by Jiansong Zhang, Qian Chen, Gaang Lee, Vicente A. Gonzalez, Vineet Kamat, International Association for Automation and Robotics in Construction, and nternational Symposium on Automation and Robotics in Construction. <i>Proceedings of the 42th International Symposium on Automation and Robotics in Construction : Montreal, Canada, July 28-31, 2025</i>. International Association for Automation and Robotics in Construction (IAARC), 2025. <a href=\"https://doi.org/10.22260/isarc2025/0026\">https://doi.org/10.22260/isarc2025/0026</a>."},"user_id":"83781","has_accepted_license":"1","_id":"14036","year":"2025","keyword":["Computer Vision","Architecture","Building Construction","Robotics in Construction"],"quality_controlled":"1","department":[{"_id":"DEP1055"},{"_id":"DEP1624"}],"doi":"10.22260/isarc2025/0026","date_updated":"2026-09-25T13:05:40Z","abstract":[{"lang":"eng","text":"This paper presents a robotic system developed to enhance automation in construction workflows through advanced AI\r\nand computer vision technologies. The system integrates a robotic arm with a 3D point cloud camera and state-\r\nof-the-art 2D pre-trained Deep Learning models, such as GroundingDINO and SegmentAnything, to detect and segment construction elements in 3D dynamic, unstructured environments. By processing point cloud data from the camera and aligning it with real-world coordinates, the system achieves precise object localization, enabling tasks such as\r\nelement handling and assembly. Designed to address challenges like clutter, occlusion, and variability in construction\r\nsites, this system bridges the gap between controlled laboratory conditions and real-world applications. Experimental\r\nevaluations highlight its potential to improve efficiency and adaptability in construction tasks."}],"corporate_editor":["International Association for Automation and Robotics in Construction","nternational Symposium on Automation and Robotics in Construction"],"publisher":"International Association for Automation and Robotics in Construction (IAARC)","author":[{"id":"84542","full_name":"Aykin, Yusuf","first_name":"Yusuf","last_name":"Aykin"},{"id":"64589","last_name":"Sachs","first_name":"Hans","full_name":"Sachs, Hans"},{"first_name":"Nikolai","last_name":"Gerzen","full_name":"Gerzen, Nikolai","id":"76704"}],"type":"conference_editor_article","date_created":"2026-09-17T14:27:18Z"},{"year":"2024","_id":"13169","related_material":{"link":[{"url":"https://aadr.info/product/synthetic-realities/","relation":"new_edition"}]},"department":[{"_id":"DEP1624"},{"_id":"DEP1055"}],"keyword":["AI","Artificial Intelligence","Architecture","Build Environment","Building Construction","Ecology of Architecture"],"date_updated":"2025-10-16T20:54:48Z","author":[{"first_name":"Hans","last_name":"Sachs","full_name":"Sachs, Hans","id":"64589"}],"type":"book_chapter","date_created":"2025-09-11T10:50:08Z","publisher":"AADR – Art Architecture Design Research","abstract":[{"text":"KI.BAU is a project being developed and conducted at the Detmold School of Design, part of the University of Applied Sciences and Arts Ostwestfalen-Lippe. It focuses on researching the application of artificial intelligence (AI) in architectural design, modelling, production and management processes, particularly on the communication between users, processes and the building itself in various development and life-time phases. Hence the research aims to develop new tools and AI-supported process chains for the design, production and communication of architecture. This includes the training and implementing prototypical machine learning algorithms to autonomously evolve and optimize field-specific processes and workflows.\r\nAs mentioned above, a critical question KI.BAU explores is how we, as planners, builders and users, will communicate with architecture in the future, in its phases of creation and use but also beyond. This also involves, besides virtual interfaces, examining the physical interaction with a building, its behaviour, responsiveness and adaptation to certain conditions. \r\nThe primary goal of the research at KI.BAU is to transform architecture into an intelligent, to some degree self-sustaining, self-reflective and maybe even evolving ‘ecological system’. This system should be comprehensively linked with its creators, users, devices, computers, its (biological) environment and networks. Consequently, a building must be viewed as an organism that communicates, interacts and adapts to other connected or related organisms and entities.\r\n","lang":"eng"}],"corporate_editor":["AADR – Art Architecture Design Research"],"jel":["A31"],"popular_science":"1","edition":"1.","language":[{"iso":"eng"}],"publication":"Synthetic realities: New Frontiers in AI-driven Design, Fabrication and Materiality","editor":[{"full_name":"Kretzer, Manuel","last_name":"Kretzer","first_name":"Manuel"}],"title":"KI.BAU Artificial Intelligence in Architecture","publication_identifier":{"isbn":["978-3887781088"]},"status":"public","publication_status":"published","user_id":"64589","page":"14","place":"Baunach","citation":{"din1505-2-1":"<span style=\"font-variant:small-caps;\">Sachs, Hans</span>: KI.BAU Artificial Intelligence in Architecture. In: <span style=\"font-variant:small-caps;\">Kretzer, M.</span> ; <span style=\"font-variant:small-caps;\">AADR – Art Architecture Design Research</span> (Hrsg.): <i>Synthetic realities: New Frontiers in AI-driven Design, Fabrication and Materiality</i>. 1. Baunach : AADR – Art Architecture Design Research, 2024, S. 14","bjps":"<b>Sachs H</b> (2024) KI.BAU Artificial Intelligence in Architecture. In Kretzer M and AADR – Art Architecture Design Research (eds), <i>Synthetic Realities: New Frontiers in AI-Driven Design, Fabrication and Materiality</i>, 1. Baunach: AADR – Art Architecture Design Research, p. 14.","havard":"H. Sachs, KI.BAU Artificial Intelligence in Architecture, in: M. Kretzer, AADR – Art Architecture Design Research (Eds.), Synthetic Realities: New Frontiers in AI-Driven Design, Fabrication and Materiality, 1., AADR – Art Architecture Design Research, Baunach, 2024: p. 14.","short":"H. Sachs, in: M. Kretzer, AADR – Art Architecture Design Research (Eds.), Synthetic Realities: New Frontiers in AI-Driven Design, Fabrication and Materiality, 1., AADR – Art Architecture Design Research, Baunach, 2024, p. 14.","ieee":"H. Sachs, “KI.BAU Artificial Intelligence in Architecture,” in <i>Synthetic realities: New Frontiers in AI-driven Design, Fabrication and Materiality</i>, 1., M. Kretzer and AADR – Art Architecture Design Research, Eds. Baunach: AADR – Art Architecture Design Research, 2024, p. 14.","van":"Sachs H. KI.BAU Artificial Intelligence in Architecture. In: Kretzer M, AADR – Art Architecture Design Research, editors. Synthetic realities: New Frontiers in AI-driven Design, Fabrication and Materiality. 1. Baunach: AADR – Art Architecture Design Research; 2024. p. 14.","ufg":"<b>Sachs, Hans</b>: KI.BAU Artificial Intelligence in Architecture, in: <i>Kretzer, Manuel, AADR – Art Architecture Design Research (Hgg.)</i>: Synthetic realities: New Frontiers in AI-driven Design, Fabrication and Materiality, <span style=\"baseline\">1.</span>, Baunach 2024,  S. 14.","apa":"Sachs, H. (2024). KI.BAU Artificial Intelligence in Architecture. In M. Kretzer &#38; AADR – Art Architecture Design Research (Eds.), <i>Synthetic realities: New Frontiers in AI-driven Design, Fabrication and Materiality</i> (1., p. 14). AADR – Art Architecture Design Research.","chicago-de":"Sachs, Hans. 2024. KI.BAU Artificial Intelligence in Architecture. In: <i>Synthetic realities: New Frontiers in AI-driven Design, Fabrication and Materiality</i>, hg. von Manuel Kretzer und AADR – Art Architecture Design Research, 14. 1. Baunach: AADR – Art Architecture Design Research.","mla":"Sachs, Hans. “KI.BAU Artificial Intelligence in Architecture.” <i>Synthetic Realities: New Frontiers in AI-Driven Design, Fabrication and Materiality</i>, edited by Manuel Kretzer and AADR – Art Architecture Design Research, 1., AADR – Art Architecture Design Research, 2024, p. 14.","chicago":"Sachs, Hans. “KI.BAU Artificial Intelligence in Architecture.” In <i>Synthetic Realities: New Frontiers in AI-Driven Design, Fabrication and Materiality</i>, edited by Manuel Kretzer and AADR – Art Architecture Design Research, 1., 14. Baunach: AADR – Art Architecture Design Research, 2024.","ama":"Sachs H. KI.BAU Artificial Intelligence in Architecture. In: Kretzer M, AADR – Art Architecture Design Research, eds. <i>Synthetic Realities: New Frontiers in AI-Driven Design, Fabrication and Materiality</i>. 1. AADR – Art Architecture Design Research; 2024:14."}}]