Papers
89
Total Citations
1,027
H-Index
16
About
Jingtai Liu is a prolific robotics researcher whose work spans mobile robotics, robot control, wearable exoskeletons, and autonomous systems. His foundational contributions to skid-steered mobile robot kinematics — particularly his 2009 paper on IMU-based motion estimation, which has garnered nearly 200 citations — established critical frameworks for understanding the complex wheel-ground interactions that define this class of highly practical robotic platforms. Liu has made significant advances in robot control, developing innovative approaches for flexible joint robots, series elastic actuators, and torque tracking systems that address real-world challenges in force control and vibration suppression. His research extends into human-robot interaction, notably evaluating muscle activity during ankle exoskeleton-assisted walking, reflecting a commitment to translating robotics into rehabilitation and mobility enhancement. Liu has also contributed to autonomous systems, designing cooperative UAV-ground vehicle surveillance platforms and advancing human trajectory prediction through transformer-based deep learning architectures. His earlier work on geometry-based robot calibration demonstrates a career-long dedication to precision and practical implementation. With over 500 cumulative citations across diverse robotics disciplines, Liu's research portfolio reflects both technical depth and broad interdisciplinary impact, making him a significant voice in modern autonomous and assistive robotics.
Research Focus
Key Achievements
Top Papers
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- 4Geometry-based robot calibration method33 citations · 2004
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- 10Modeling and motion stability analysis of skid-steered mobile robots21 citations · 2009