Papers
91
Total Citations
1,953
H-Index
20
About
Peter Liu is a distinguished robotics and control systems researcher whose work spans robust control, adaptive fuzzy systems, autonomous robotics, and human-machine interaction. With a career spanning over two decades, Liu has made foundational contributions to the control of complex robotic systems under uncertainty. His 2014 paper on quadrotor UAV robust control, garnering 248 citations, demonstrated sophisticated energy-function-based algorithms for autonomous flight stability in the presence of disturbance and modeling error. His prolific work on adaptive fuzzy control for flexible-joint robots — accumulating nearly 350 citations across two 2019 papers alone — advanced command filtering and dynamic surface control strategies that elegantly handle input saturation and unknown nonlinearities. Earlier contributions in embedded fuzzy controllers, visual gesture recognition for teleoperation, and online fuzzy clustering laid important groundwork for intelligent human-robot interaction. More recently, Liu has pushed into cutting-edge territory with online kinematic calibration aligned with Industry 4.0 principles and a fully autonomous robotic ultrasound system for thyroid scanning, reflecting his commitment to real-world clinical and industrial applications. Collectively, his body of work represents a comprehensive and highly impactful vision of intelligent, adaptive, and autonomous robotic systems.
Research Focus
Key Achievements
Top Papers
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- 4Robust Adaptive Fuzzy Output Feedback Control System for Robot Manipulators80 citations · 2010
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- 7Online Robot Kinematic Calibration Using Hybrid Filter With Multiple Sensors61 citations · 2020
- 8A fully autonomous robotic ultrasound system for thyroid scanning57 citations · 2024
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