Papers
102
Total Citations
3,357
H-Index
31
About
Jinguo Liu is a prolific robotics researcher whose work spans an impressive breadth of cutting-edge fields, including soft robotics, in-space assembly, human-robot interaction, and reconfigurable robotic systems. His highly cited review papers have become essential references in the field — his 2020 survey on in-space assembly technologies (214 citations) and his 2021 review of soft manipulators (132 citations) demonstrate his ability to synthesize complex, emerging domains and chart future research directions. Liu has made significant technical contributions as well, including pioneering work on continuum robots with shape memory alloy-driven variable stiffness (208 citations) and a novel symplectic instantaneous optimal control method for robot trajectory tracking using differential-algebraic equation models (127 citations). His research extends into human-robot collaboration, where he has developed sophisticated deep learning approaches for hand detection and gesture recognition, enabling more intuitive and safe physical interaction between humans and robots. With a career spanning mobile robotics — evidenced by his 2005 work on tracked reconfigurable robots — to cutting-edge space robotics, Liu's cumulative impact, reflected in over 1,300 citations across his top works alone, marks him as a defining voice in modern intelligent robotics research.
Research Focus
Key Achievements
Top Papers
- 1Review of in-space assembly technologies214 citations · 2020
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- 3Review of snake robots in constrained environments164 citations · 2021
- 4Zooming image based false matches elimination algorithms for robot navigation137 citations · 2017
- 5A review of soft manipulator research, applications, and opportunities132 citations · 2021
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- 9Analysis of stairs-climbing ability for a tracked reconfigurable modular robot105 citations · 2005
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