Papers
7
Total Citations
89
H-Index
4
About
Mingda Miao is an emerging robotics researcher whose work sits at the intersection of rehabilitation engineering, human-robot interaction, and autonomous mobile systems. Best known for contributions to lower limb exoskeleton rehabilitation robotics, Miao has developed innovative solutions addressing critical gaps in stroke patient care — most notably designing systems that integrate on-site and telerehabilitation capabilities to serve patients unable to access conventional therapy, a challenge brought into sharp focus by the COVID-19 pandemic. Across multiple highly cited studies, Miao has advanced adaptive control schemes driven by human motion intention recognition, leveraging multi-source sensor fusion and machine learning to enhance patient participation and robot responsiveness. These works have collectively accumulated over 80 citations, demonstrating meaningful influence within the rehabilitation robotics community. More recently, Miao has expanded into autonomous mobile robotics, tackling challenges in trajectory planning, visual-inertial SLAM mapping, and active disturbance rejection control for indoor inspection robots. This broadening scope reflects a researcher who combines rigorous electromechanical design with sophisticated control theory, positioning Miao as a versatile contributor to the rapidly evolving field of intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Autonomous motion and control of lower limb exoskeleton rehabilitation robot21 citations · 2023
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- 6W-VSLAM: A Visual Mapping Algorithm for Indoor Inspection Robots3 citations · 2024
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