Chengguo Liu
Papers
19
Total Citations
283
H-Index
8
About
Chengguo Liu is a robotics researcher whose work spans force control, human-robot interaction, and intelligent adaptive control systems. His career traces an arc from foundational contributions in robotic cell microinjection to cutting-edge developments in neural and fuzzy adaptive control for manipulators operating in complex, dynamic environments. His most-cited work, "A Force Control Approach to a Robot-assisted Cell Microinjection System" (2009, 145 citations), established him as a pioneer in applying robotic automation to delicate biological tasks, demonstrating measurable gains in quality, repeatability, and productivity over manual techniques. Building on this foundation, Liu has made sustained contributions to admittance control frameworks, developing adaptive fractional-order, smoothing, and variable admittance strategies that enable robots to interact precisely with unknown or highly dynamic environments — capabilities critical for industrial tasks such as polishing and aircraft skin finishing. More recently, Liu has pushed boundaries in prescribed-performance and predefined-time control, publishing influential work on neural learning-based force tracking and fuzzy adaptive controllers that guarantee fast transient response and global robustness. His research also advances human-robot collaboration through neuroadaptive control with motion intention estimation and skill-learning systems grounded in dynamic movement primitives. With over 250 total citations and growing output, Liu represents a significant voice in intelligent robot control research.
Research Focus
Key Achievements
Top Papers
- 1A Force Control Approach to a Robot-assisted Cell Microinjection System145 citations · 2009
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- 5Force tracking smooth adaptive admittance control in unknown environment13 citations · 2023
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