Jianfu Cao
Papers
6
Total Citations
79
H-Index
4
About
Jianfu Cao is a leading researcher in robotics and mechatronics, with a primary focus on advancing dual-arm robotic systems for construction and intelligent manufacturing. His work centers on adaptive control strategies, including variable impedance and prescribed-time tracking control, which enable robots to perform complex tasks like slabstone installation with high precision and safety. Cao’s most-cited paper, “Adaptive variable impedance control of dual-arm robots for slabstone installation” (2021, 38 citations), demonstrates his impact in developing practical solutions for construction automation. His subsequent work on “Prescribed time tracking control without velocity measurement for dual-arm robots” (2023, 24 citations) further pushes the boundaries of robotic control under output constraints. Beyond dual-arm systems, Cao has contributed to machine learning-based inverse kinematics for painting robots and robust vision systems for manufacturing. He also served as guest editor for a focused section on mechatronics and automation for constructions, highlighting his leadership in transforming the construction industry through automation. With a growing citation record and a focus on real-world applications, Cao’s research is pivotal for the fourth industrial revolution in construction and manufacturing.
Research Focus
Key Achievements
Top Papers
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- 3Practical Tracking Control for Dual-arm Robot with Output Constraints8 citations · 2022
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- 6High Robust Vision System of Robot in Intelligent Manufacturing2 citations · 2020