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Enhancing Decision-Making for Human-Centered Construction Robotics: A Methodological Framework

  • While the Architecture, Engineering, and Construction (AEC) industry is increasingly aware of the rising demands for productivity and human-centered construction improvements, the holistic adoption of robotics as a fundamental strategy to address these challenges has not yet reached comprehensive fruition. This paper therefore introduces a methodological framework aiming to address the industry's pressing need for a systematic approach for assessing the feasibility of integrating robotics into human-centered construction processes. It aims to enhance decision-making regarding the degree of automation in human-centered construction processes, ranging from partial to full robotization or non-robotization. The framework is characterized by a more holistic end-to-end data-/workflow and therefore adopts a multifaceted approach, leveraging BIM-based planning methodologies and integrating new technologies [e.g., Motion Capturing (MoCap), work process simulation software incorporating Digital Human Models (DHM), self-developed conversion/interfacing software and more] that have not been widely used in the industry to date. Subsequently, the framework is evaluated in a real-life bricklaying construction process to ensure a more application-based approach. Overall, the framework advances current construction processes with a more inclusive and conscious technology infill to empower construction professionals with the workflow and corresponding tools necessary for the practical integration of robotics into human-centered construction processes.

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Metadaten
Author:Marc Schmailzl, Anne-Sophie Saffert, Merve Karamara, Thomas LinnerORCiD, Friedrich Anton Eder, Simon Konrad Hoeng, Mathias ObergriesserORCiD
DOI:https://doi.org/10.22260/ISARC2024/0083
ISBN:978-0-6458322-1-1
ISSN:2413-5844
Parent Title (English):Proceedings of the 41st International Symposium on Automation and Robotics in Construction (ISARC), Lille, France
Publisher:International Association for Automation and Robotics in Construction (IAARC)
Document Type:conference proceeding (article)
Language:English
Year of first Publication:2024
Release Date:2024/07/03
Tag:AEC Industry; Building Information Modeling (BIM); Decision-Making; Framework; Human-Centered; Motion Capturing; Robotics; Workflow
First Page:637
Last Page:644
Institutes:Fakultät Bauingenieurwesen
research focus:Gebäude und Infrastruktur
Licence (German):Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG
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