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As robots advance, their application in facility management tasks such as cleaning, maintenance, security, surveillance, warehouse management, and customer service is expanding. As buildings become smarter, robots will likely either replace or assist humans in maintaining them, leading to more complex interactions between robots and buildings. To accurately simulate and predict these interactions, we propose a conceptual framework for a simulation platform. This framework comprises four main components: occupants, robots, building systems, and a digital twin. The digital twin receives data and requirements from the other three entities, issuing commands to meet these needs. This research underscores the importance of viewing robots as occupants and promoting the coordinated development of smart buildings and robots. Future studies could focus on designing various types of robots to meet occupants' and building systems' needs, as well as creating smart buildings that account for robots' convenience and efficiency.
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Xu et al. (2024) studied this question.
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