Automated Bricklaying Robot (ABR) / Syaima Mohd Fauzi and Ezzat Fahmi Ahmad

Mohd Fauzi, Syaima and Ahmad, Ezzat Fahmi (2023) Automated Bricklaying Robot (ABR) / Syaima Mohd Fauzi and Ezzat Fahmi Ahmad. In: UNSPECIFIED.

Abstract

In Malaysia, conventional methods in the construction industry are still widely used, even though the Industrialised Building System (IBS) has been successfully adopted in the government sector. Malaysia’s construction industry needs more workers as conventional methods are still widely practised. Currently, the Malaysian construction industry widely uses the conventional method, in which many skilled workers are needed to construct buildings. The shortage of skilled workers led to the innovation of the Automated Bricklaying Robot (ABR). The advancement of construction robots will significantly boost automation in the construction industry in the future. This study intends to identify the current problems related to bricklaying robot and technology, suggest and build a new machine as a solution to these problems, and assess its marketability potential. This research is based on a secondary data review and includes a SketchUp mockup of the machine.

Metadata

Item Type: Conference or Workshop Item (Paper)
Creators:
Creators
Email / ID Num.
Mohd Fauzi, Syaima
syaimam.fauzi@gmail.com
Ahmad, Ezzat Fahmi
ezzatfahmi@uitm.edu.my
Contributors:
Contribution
Name
Email / ID Num.
Editor
Mahayuddin, Siti Akhtar
UNSPECIFIED
Editor
Ishak, Noor Rizallinda
UNSPECIFIED
Editor
Hadzaman, Nor Asma Hafizah
UNSPECIFIED
Editor
Ismail, Sallehan
UNSPECIFIED
Designer
Mahyuddin, Muhammad Naim
UNSPECIFIED
Subjects: T Technology > T Technology (General) > Technological change > Technological innovations
Divisions: Universiti Teknologi MARA, Perak > Seri Iskandar Campus > Faculty of Architecture, Planning and Surveying
Journal or Publication Title: BUILDCON 2023 Compilation of Project Innovation Ideas Semester March – August 2023
Page Range: p. 99
Keywords: Automated Bricklaying Robot (ABR), construction industry, marketability potential
Date: 2023
URI: https://ir.uitm.edu.my/id/eprint/104944
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104944

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