4.7 Article

Feasibility verification of brick-laying robot using manipulation trajectory and the laying pattern optimization

Journal

AUTOMATION IN CONSTRUCTION
Volume 18, Issue 5, Pages 644-655

Publisher

ELSEVIER
DOI: 10.1016/j.autcon.2008.12.008

Keywords

Brick-laying; Brick-paving; Fast Algorithm; Overlap Method; Manipulator integrated mobile robot

Funding

  1. Research Fund of Hanyang University [HYU-2008-T]
  2. Construction Technology Innovation Program(CTIP)
  3. Ministry of Land, Transportation and Maritime Affairs (MLTM) [R11-2005-056-03003-0]
  4. Korea Agency for Infrastructure Technology Advancement (KAIA) [43748] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
  5. Ministry of Knowledge Economy (MKE), Republic of Korea [로봇인력-03] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
  6. National Research Foundation of Korea [과C6A1809, 2005-0049729, R11-2005-056-03003-0] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

Ask authors/readers for more resources

Brick handling in a construction road paving site or building construction site is traditionally performed by the handwork of humans. These types of tasks are absolutely laborious and time consuming. However, the automation of the block-laying task has several problems caused by the inequality of construction materials and working condition. In particular, it is difficult to satisfy the requirements of customers on various laying and paving patterns. This study proposes a manipulator integrated mobile system operated by the optimal laying pattern and trajectory algorithm. The pattern generator is designed by the Fast Algorithm which is motivated by Steudel's algorithm, and the manipulator trajectory generation algorithm is developed by the Overlap Method which is a treatment skill for robot-surrounded obstacles. This study mainly shows the efficiencies of the proposed pattern generation algorithm and trajectory generation algorithm for the bricklaying task. Finally, it introduces the developed prototype system and its basic performance. (C) 2009 Elsevier B.V. All rights reserved.

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