Ming-Fung Francis Siu
Papers
6
Total Citations
154
H-Index
6
About
Ming-Fung Francis Siu is a leading researcher at the forefront of construction robotics and automation, with a focus on transforming traditional building practices through intelligent technologies. His work spans robotic adoption dynamics, kinematic modeling, and autonomous navigation, addressing critical barriers to industry digitization. Siu’s highly cited 2022 study on “Evolution pathways of robotic technologies and applications in construction” (37 citations) provides a foundational roadmap for integrating robotics into construction workflows. He has made significant contributions to understanding stakeholder perspectives, as shown in his 2021 paper on factors influencing construction robotics adoption in Hong Kong (30 citations), which reveals divergent priorities among industry players. His technical innovations include kinematic constraint analysis for robotic excavators (35 citations) and a fuzzy logic controller for autonomous building inspection robots (2023). Siu also pioneered the use of gaming environments for critical lifting simulations (27 citations) and combined photogrammetry with robotic total stations for dimensional measurements (17 citations). With over 150 total citations, his work bridges engineering computation and practical field applications, making him a pivotal figure in advancing construction automation and robotics adoption research.
Research Focus
Key Achievements
Top Papers
- 1Evolution pathways of robotic technologies and applications in construction37 citations · 2022
- 2
- 3
- 4
- 5
- 6