Embodied AI for Construction and Facilities Management

3.00 points · University catalogue

Sensor modalities and their applications in construction and facilities management. Deep learning concepts and their application in robot perception. Markov Decision Process (MDP) and its application in planning and control. Formulation of embodied AI perception and control problems as MDP. Application of classic reinforcement learning algorithms to solve MDP problems. Analysis of agents’ performance through objective and subjective metrics. Understanding the critical interactions between users/occupants and embodied AI agents. Hands-on experience with robot simulation and/or collaborative robots in controlled lab environments.