---
res:
  bibo_abstract:
  - "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.@eng"
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Yusuf
      foaf_name: Aykin, Yusuf
      foaf_surname: Aykin
      foaf_workInfoHomepage: http://www.librecat.org/personId=84542
  - foaf_Person:
      foaf_givenName: Hans
      foaf_name: Sachs, Hans
      foaf_surname: Sachs
      foaf_workInfoHomepage: http://www.librecat.org/personId=64589
  - foaf_Person:
      foaf_givenName: Nikolai
      foaf_name: Gerzen, Nikolai
      foaf_surname: Gerzen
      foaf_workInfoHomepage: http://www.librecat.org/personId=76704
  bibo_doi: 10.22260/isarc2025/0026
  dct_date: 2025^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/2413-5844
  dct_language: eng
  dct_publisher: International Association for Automation and Robotics in Construction
    (IAARC)@
  dct_subject:
  - Computer Vision
  - Architecture
  - Building Construction
  - Robotics in Construction
  dct_title: 'Enhancing Robotic Vision through Deep Learning Techniques: From Detection
    to Construction@'
...