Papers
6
Total Citations
71
H-Index
5
About
Shengzheng Kang is a robotics researcher whose work spans flapping-wing aerial robots, underwater bio-inspired systems, and biomedical micromanipulation. His most influential contribution is the development of a computationally efficient inverse dynamics model for six-DOF parallel robots using dual quaternion algebra, a foundational paper with 29 citations that has advanced real-time control of complex parallel mechanisms. In bio-inspired robotics, Kang led the electromechanical design of the COLIBRI robotic hummingbird, introducing a novel gear transmission to reduce friction and enable stable hovering flight at hummingbird scale. His research on multi-tentacled underwater robots, published in 2024, proposes two distinct self-steering modes—maneuvering and cruising—using cephalopod-inspired continuous and transient kinematic laws. In biomedical robotics, Kang has developed a fractional viscoelastic model to optimize puncture speed in robotic cell microinjection, minimizing cell damage and improving survival rates. His most recent work (2025) applies deep learning for real-time visual detection in microinjection systems, achieving high accuracy and efficiency. With over 70 total citations across his portfolio, Kang’s research demonstrates a unique ability to integrate theoretical mechanics, bio-inspired design, and practical automation for applications ranging from microrobotics to marine exploration.
Research Focus
Key Achievements
Top Papers
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- 2A Note on the Electromechanical Design of a Robotic Hummingbird18 citations · 2021
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