Papers
13
Total Citations
222
H-Index
6
About
Shinkyu Park is a robotics and autonomous systems researcher whose work spans autonomous vehicle control, multi-robot coordination, and human-robot interaction. He is perhaps best known for his pioneering contributions to autonomous surface vehicles, particularly through his highly cited 2018 paper on nonlinear model predictive control (NMPC) of robotic boats, which has garnered 98 citations and laid the groundwork for subsequent advances in reconfigurable autonomous vessels, including the influential Roboats project. His research on learning-based NMPC and online system identification further pushed the boundaries of adaptive control for marine robotics operating in unpredictable environments. Beyond vehicle autonomy, Park has made significant contributions to multi-robot systems, developing game-theoretic frameworks for dynamic task allocation and coalition formation that allow large robot teams to respond intelligently to changing conditions. His 2021 work on this topic has accumulated 42 citations, reflecting its broad influence. More recently, Park has ventured into socially aware robot navigation, proposing an innovative opinion-dynamics-driven approach for robots navigating around human pedestrians. Across all these threads, his research is unified by a commitment to principled mathematical modeling — drawing on control theory, game theory, and machine learning — to make autonomous systems more capable, adaptive, and human-compatible.
Research Focus
Key Achievements
Top Papers
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- 2Multi-Robot Task Allocation Games in Dynamically Changing Environments42 citations · 2021
- 3Proactive Opinion-Driven Robot Navigation Around Human Movers23 citations · 2023
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- 10Analysis and control of agreement and disagreement opinion cascades3 citations · 2021