Zhengbo Zou

Zhengbo Zou’s research aims to understand how intelligent agents, such as construction robots and building control systems, interact with human operators, occupants, the built environment, and the society. Zou leverages machine learning and control theory to design, build, and control these intelligent agents, and conducts human participant experiments to study their impacts on the end users. Zou works in three interconnected areas: (1) dexterous manipulation of robots enabling human-robot collaboration during construction, (2) monitoring of the built environment using autonomous robots, and (3) responsive environments considering energy efficiency, indoor environment quality, and human comfort.

1. Duan, K., Zou, Z. (2024). “Morphology Agnostic Gesture Mapping for Intuitive Teleoperation of Construction Robots”. Advanced Engineering Informatics, 62, 102600. 2. Huang, L., Cai, W., Zhu, Z., Zou, Z. (2023). “Dexterous manipulation of construction tools using anthropomorphic robotic hand”. Automation in Construction, 156, 105133. 3. Li, R., Zou, Z. (2023). “Enhancing Construction Robot Learning for Collaborative and Long-Horizon Tasks using Generative Adversarial Imitation Learning”. Advanced Engineering Informatics, 581 102140. 4. Duan, K., Suen, C., Zou, Z. (2023). “Robot morphology evolution for automated HVAC system inspections using graph heuristic search and reinforcement learning”. Automation in Construction, 153, 104956. 5. Cai, W., Huang, L., Zou, Z. (2023). “Actively-explori