Papers
42
Total Citations
440
H-Index
12
About
Mingguo Zhao is a prominent robotics researcher whose work spans bipedal locomotion, robot control, and intelligent robotic systems. He is perhaps best known for his extensive contributions to bipedal walking dynamics, particularly his investigations into passive dynamic walkers augmented with torso mechanics. His 2016 studies on torso-coupled passive dynamic walkers and hip series elastic actuators (accumulating over 40 citations each) established foundational insights into how human-like gait stability and bifurcation behavior can be modeled and controlled, with subsequent work applying model predictive control to suppress undesirable gait bifurcations. Zhao has also advanced high-speed, energy-efficient biped locomotion through the concept of Virtual Slope Walking and contributed to real-time bipedal motion planning via centroidal model predictive gait synthesis. Beyond legged robotics, his research portfolio demonstrates remarkable breadth: he has developed adaptive particle filtering methods for mobile robot localization, pioneered gesture recognition algorithms for sign language interpretation, and explored brain-inspired robotic architectures for multi-task operation. His work on bicycle robot balance control using fuzzy multi-objective dynamic programming further reflects his versatility. Collectively, his papers have attracted hundreds of citations, establishing him as an influential figure bridging biomechanical inspiration and practical robotic implementation.
Research Focus
Key Achievements
Top Papers
- 1Passive Dynamic Walking with a Torso Coupled via Torsional Springs44 citations · 2016
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- 6A hybrid and scalable brain-inspired robotic platform23 citations · 2020
- 7A Fast Algorithm for Hand Gesture Recognition Using Relief21 citations · 2009
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- 10Gait Planning Of Quadruped Robot Based On Third-Order Spline Interpolation17 citations · 2006