Evolution pathways of robotic technologies and applications in construction

Chang, Siwei; Siu, Ming-Fung Francis; Li, Heng; Luo, Xiaowei

doi:10.1016/j.aei.2022.101529

Cited by 21 publications

(2 citation statements)

References 56 publications

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“…Some concrete surface images are difficult to capture in real-life situations, including among others high-rise buildings, component corners, and buildings in extremely harsh environments. To address this issue, robotics techniques are growing rapidly as a means of upgrading computer-vision-based quality inspection [29]. Previous research has begun to use mobile robots, such as UAVs in order to gather surface images [30][31][32].…”

Section: Discussionmentioning

confidence: 99%

Computer Vision-Based Techniques for Quality Inspection of Concrete Building Structures

Chang¹,

Siu²

2023

Quality Control - An Anthology of Cases

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Quality performance of building construction is frequently assessed throughout the construction life cycle. In Hong Kong, quality management system must be established before commencing new building works. Regular building inspections are conducted in accordance with the code of practice of new building works. Quality managers are deployed in construction sites to inspect and record any building defects. The concrete cracks must be identified, which is usually followed by proposed rectifications, in order to protect the public and occupants from dangers. This chapter is structured as follows: Background information of concrete cracks is firstly given. Traditional technique of conducting regular manual inspection is introduced, in accordance with Hong Kong’s code of practice “Building Performance Assessment Scoring System (PASS)”. Then, an advanced technique of conducting crack inspection intelligently based on computer vision is introduced. The procedures of defining, training, and benchmarking the architecture of convolutional neural network models are presented. The calculation steps are detailed and illustrated using a simple textbook example. An experiment case study is used to compare the time, cost of inspecting concrete cracks using both manual and advanced technique. The study concludes with a presentation of the future vision of robot-human collaboration for inspecting concrete cracks in building construction.

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Section: Discussionmentioning

confidence: 99%

Computer Vision-Based Techniques for Quality Inspection of Concrete Building Structures

Chang¹,

Siu²

2023

Quality Control - An Anthology of Cases

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“…Deep Learning (DL) algorithm was used to recognize construction waste generated during the demolition and remodelling of a structure (Na et al 2022a , b ). Robotics has been applied in site monitoring, prediction, progress evaluation, error detection, automation of dangerous tasks, and surveillance tasks (Bademosi and Issa 2022 ; Chong et al 2022 ; Chang et al 2022 ). Despite the opportunities and benefits that AI technology can potentially provide in refurbishing productivity and sustainability goals, CSC continues to be the least automated and digitized industry struggling to adopt AI technology at full capacity.…”

Section: Introductionmentioning

confidence: 99%

Identifying issues in adoption of AI practices in construction supply chains: towards managing sustainability

Singh

Dwivedi

Agrawal³

et al. 2023

Oper Manag Res

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The fragmented nature of construction industry coupled with its complex and dynamic nature demands for innovative technologies to record better performance in project execution. In this respect, Artificial Intelligence (AI) based techniques posit a viable means to attain requisite efficiency in performance and alleviate the productivity of construction organizations. The adoption of sustainable practices in Construction Supply Chains (CSCs) lowers the environmental impact, lowers the risk of failure, and boosts competitiveness. The present study attempts to unearth potential issues in the adoption of AI practices in CSCs. Initially, the study identifies potential issues in the implementation of AI-based frameworks in CSCs by performing an extensive literature review and brainstorming sessions with industry experts. The exercise results in identifying 17 critical issues confronting the adoption of AI in CSCs which were subsequently subjected to fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL) approach. The findings from the study reveal that “Lack of trust in AI outcomes”, “Exploitation by hackers, cybercrimes and privacy intrusion”, “Risk and cost associated with construction projects”, “Uncertain processing and functions of AI algorithms”, and “Unclear profits and advantages” were the top five influential causal issues that affect the adoption of AI in CSCs. This study is a novel attempt in the direction to identify and prioritize the potential issues in the adoption of AI-based frameworks in the Indian CSCs.

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How Can Robot Replacement Be Achieved? – Technology Development Direction for Automatic Construction Robot

Mao

et al. 2023

Lecture Notes in Operations Research

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Evolution pathways of robotic technologies and applications in construction

Cited by 21 publications

References 56 publications

Computer Vision-Based Techniques for Quality Inspection of Concrete Building Structures

Computer Vision-Based Techniques for Quality Inspection of Concrete Building Structures

Identifying issues in adoption of AI practices in construction supply chains: towards managing sustainability

How Can Robot Replacement Be Achieved? – Technology Development Direction for Automatic Construction Robot

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