Autonomous Mobile Indoor Robots for Building Monitoring
This research proposes a novel framework that uses autonomous multi-sensor fused mobile indoor robots for gathering information. The application focuses on the operation and maintenance phase of a project. For example, the collected data will be used to investigate the performance of buildings through the use of machine learning algorithms to enable the sustainable service of existing buildings. The autonomous mobile indoor robots will eliminate the need to commission, install, calibrate, and maintain traditional stationary sensor networks in existing buildings used to collect periodical or seasonal data. They will act as an on-demand application to support facility management operations related to the performance (e.g., occupant comfort and energy consumption) of buildings.