A multidimensional taxonomy for human-robot interaction in construction

Rodrigues, Patrick; Singh, Rashmi; Oytun, Mert; Adami, Pooya; Woods, Peter; Becerik-Gerber, Burcin; Soibelman, Lucio; Copur-Gencturk, Yasemin; Lucas, Gale

Abstract

Despite the increased interest in construction robotics both in academia and the industry, insufficient attention has been given to aspects related to Human-Robot Interaction (HRI). Characterizing HRI for construction tasks can help researchers organize knowledge in a structured manner that allows for classifying construction robotics applications and comparing and benchmarking different studies. This paper builds upon existing taxonomies and empirical studies in HRI in various industries (e.g., construction, manufacturing, and military, among others) to propose a multidimensional taxonomy to characterize HRI applications in the construction industry. The taxonomy design followed a systematic literature review in which common themes were identified and grouped into 16 categories. The proposed taxonomy can be used as a foundation for systematic reviews and meta-analyses of HRI applications in construction and can benefit the construction industry by informing the design of collaborative tasks performed by human-robot teams.

Citation

Rodrigues, P., Singh, R., Oytun, M., Adami, P., Woods, P., Becerik-Gerber, B., Soibelman, L., Copur-Gencturk, Y., & Lucas, G. (2023). A multidimensional taxonomy for human-robot interaction in construction. Automation in Construction, 150, Article 104845. https://doi.org/10.1016/j.autcon.2023.104845

• Journal Article Type: Article
• Acceptance Date: Mar 16, 2023
• Online Publication Date: Mar 28, 2023
• Publication Date: Jun 1, 2023
• Deposit Date: Mar 19, 2023
• Publicly Available Date: Mar 29, 2024
• Journal: Automation in Construction
• Print ISSN: 0926-5805
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 150
• Article Number: 104845
• DOI: https://doi.org/10.1016/j.autcon.2023.104845
• Public URL: https://nottingham-repository.worktribe.com/output/18683801
• Publisher URL: https://www.sciencedirect.com/science/article/pii/S092658052300105X?via%3Dihub