Kaiwen Pan
Papers
4
Total Citations
39
H-Index
3
About
Kaiwen Pan is an emerging robotics researcher whose work centers on the design, dynamics, and autonomous control of wave-driven robotic systems — an innovative class of marine robots that harvest ocean wave energy for self-propulsion. Pan's research addresses fundamental challenges in modeling the complex hydrodynamic interactions inherent to multi-body marine systems, with his 2019 paper on dynamics modeling and experiments of wave-driven robots (13 citations) establishing an important empirical and theoretical foundation in the field. Building on this groundwork, his 2021 study on self-propelled performance of multi-body wave-driven robots has garnered 21 citations, demonstrating notable influence within the marine robotics community and signaling growing interest in sustainable, energy-efficient ocean exploration platforms. Pan has also made meaningful contributions to the control systems dimension of this technology, developing adaptive yawing filters capable of compensating for uncertain model perturbations and dynamic disturbances — critical capabilities for reliable real-world deployment. Collectively, his body of work reflects a coherent and progressive research agenda aimed at advancing the practicality and performance of wave-driven robots, positioning him as a promising contributor to next-generation autonomous marine vehicle research.
Research Focus
Key Achievements
Top Papers
- 1
- 2Dynamics modeling and experiments of wave driven robot13 citations · 2019
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- 4