Papers
124
Total Citations
3,397
H-Index
34
About
Guangjun Liu is a prominent robotics and control systems researcher whose work spans mobile robotics, legged and wheeled locomotion, modular robot manipulators, and battery state estimation. His research has made foundational contributions to how robots perceive, model, and interact with their physical environments. Liu's 2014 adaptive unscented Kalman filtering method for lithium-ion battery state-of-charge estimation — now with nearly 300 citations — remains a landmark contribution to autonomous mobile robot power management. His investigations into foot-terrain contact mechanics (159 citations) and wheel-terrain interaction for planetary rovers (99 citations) have meaningfully advanced the design and control of robots operating in unstructured environments. Liu has also produced influential work on harmonic drive modeling, addressing nonlinear torsional compliance and hysteresis (77 citations) and enabling torque estimation without dedicated sensors (107 citations) — critical advances for practical robot deployment. His virtual decomposition control framework for modular manipulators (76 citations) and more recent cooperative game-based optimal control strategies for human-robot collaboration (104 citations) reflect a sustained commitment to intelligent, adaptable robotic systems. Collectively, Liu's body of work demonstrates exceptional breadth and lasting impact across foundational and applied robotics research.
Research Focus
Key Achievements
Top Papers
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- 3Distributed control of modular and reconfigurable robot with torque sensing115 citations · 2007
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- 8Modeling of Torsional Compliance and Hysteresis Behaviors in Harmonic Drives77 citations · 2014
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