Haikuo Shen
Papers
4
Total Citations
18
H-Index
2
About
Haikuo Shen is a robotics researcher whose work spans robot motion control, flexible-joint dynamics, and medical robotics. His key contributions focus on improving robot performance through trajectory optimization and advanced control strategies. In his highly cited work "A new method for high speed and smooth transfer of robot motion trajectory" (2016, 8 citations), Shen addresses the critical issue of vibration caused by sharp directional changes in robot paths, proposing a method that enhances both speed and smoothness—directly impacting robot longevity and precision. Building on this, his 2023 paper "Fractional‐order dynamics and adaptive dynamic surface control of flexible‐joint robots" (7 citations) introduces a novel fractional-order model for flexible-joint robots, coupled with adaptive control to solve tracking problems, showcasing his ability to blend theoretical modeling with practical control design. Shen also explores novel mechanisms, such as the hydraulic-driven rolling parallel robot (2016, 2 citations) for flexible locomotion, and extends into medical applications with a dexterous steerable catheter robot system (2025, 1 citation) for vascular interventions. His work demonstrates a clear trajectory from foundational motion control to cutting-edge surgical robotics, with growing impact in both industrial and medical fields.
Research Focus
Key Achievements
Top Papers
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