Papers
1
Total Citations
4
H-Index
1
About
Hanliang Fu is a rising scholar in the fields of human–robot collaboration, construction automation, and human factors engineering. His research focuses on understanding how trust and automation levels shape human–robot interactions in complex, safety-critical environments, particularly within the construction industry. Fu’s most-cited work, “Human trust effect in remote human–robot collaboration construction task for different level of automation” (2025), has already garnered 4 citations, signaling early impact in this emerging area. This study investigates the nuanced relationship between operator trust and varying degrees of robotic autonomy, offering critical insights for designing more effective and safer collaborative systems. By bridging psychology and engineering, Fu’s contributions help lay the groundwork for future autonomous construction sites where humans and robots work seamlessly together. His work is particularly notable for its practical implications, addressing real-world challenges in remote operation and task delegation. As a young researcher, Fu is establishing a strong foundation for a career that promises to influence both academic theory and industrial practice in human–robot collaboration.
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Top Papers
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