Digital twin-enabled human-robot collaborative teaming towards sustainable and healthy built environments

Journal article


Lu, W.,, Chen, J., Fu, Y., Pan, Y. and Ghansah, F. (2023). Digital twin-enabled human-robot collaborative teaming towards sustainable and healthy built environments. Journal of Cleaner Production. 412, p. 137412. https://doi.org/10.1016/j.jclepro.2023.137412
AuthorsLu, W.,, Chen, J., Fu, Y., Pan, Y. and Ghansah, F.
Abstract

Development of sustainable and healthy built environments (SHBE) is highly advocated to achieve collective societal good. Part of the pathway to SHBE is the engagement of robots to manage the ever-complex facilities for tasks such as inspection and disinfection. However, despite the increasing advancements of robot intelligence, it is still “mission impossible” for robots to independently undertake such open-ended problems as facility management, calling for a need to “team up” the robots with humans. Leveraging digital twin's ability to capture real-time data and inform decision-making via dynamic simulation, this study aims to develop a human-robot teaming framework for facility management to achieve sustainability and healthiness in the built environments. A digital twin-enabled prototype system is developed based on the framework. Case studies showed that the framework can safely and efficiently incorporate robotics into facility management tasks (e.g., patrolling, inspection, and cleaning) by allowing humans to plan, oversee, manage, and cooperate with the robot via the digital twin's bi-directional mechanism. The study lays out a high-level framework, under which purposeful efforts can be made to unlock digital twin's full potential in collaborating humans and robots in facility management towards SHBE.

KeywordsSustainability, Green building, Human–robot teaming, Human–robot interaction, Digital twin
Year2023
JournalJournal of Cleaner Production
Journal citation412, p. 137412
PublisherElsevier
ISSN1879-1786
Digital Object Identifier (DOI)https://doi.org/10.1016/j.jclepro.2023.137412
Publication dates
Print12 May 2023
Publication process dates
Accepted05 May 2023
Deposited19 Jan 2024
Accepted author manuscript
License
File Access Level
Open
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