Papers

14

Total Citations

148

H-Index

8

About

Shu Miao is a versatile robotics researcher whose work spans medical microrobotics, exoskeleton systems, and advanced motion control. His research portfolio bridges two compelling domains: precision biomedical automation and intelligent human-robot interaction, making him a distinctive voice in modern robotics engineering. Miao's most prominent contributions lie in automating embryo vitrification for in vitro fertilization, developing robotic systems embedded with open microfluidic chips that enable real-time observation and precise cryoprotectant control — work that has collectively earned over 30 citations and holds significant promise for improving assisted reproduction outcomes. Equally notable is his 2024 human-in-the-loop adaptation framework for lower-limb exoskeletons, which addresses the critical challenge of personalizing robotic assistance across diverse wearers and tasks, garnering 26 citations. On the control systems front, Miao has contributed meaningfully to nonlinear model predictive control for mobile robots, sliding mode observers for motor positioning, and SVM-based torque ripple reduction — foundational work that underpins reliable robotic motion. His more recent explorations into magnetic microrobots and optoelectronic manipulation reflect a forward-looking research trajectory toward microscale autonomy and non-contact dexterous manipulation. With over 130 cumulative citations, Miao's interdisciplinary output positions him as an emerging leader bridging medical robotics and intelligent control systems.

Research Focus

Key Achievements

8
H-Index
14
Papers
148
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Learning to Assist Different Wearers in Multitasks: Efficient and Individualized Human-in-the-Loop Adaptation Framework for Lower-Limb Exoskeleton
26 citations · 2024
📈 Most Prolific Year: 2018 (5 Papers)
🤝 Key Collaborators: 51
🏛 Institutions: Tsinghua University, Harbin Institute of Technology, Northeastern University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 17 days ago