Papers
3
Total Citations
17
H-Index
2
About
Sungjin Cho is a robotics researcher whose work focuses on the intersection of marine autonomy, human-robot interaction, and swarm coordination. His primary research areas include anomaly detection for marine robots, time-delay estimation in human-robot interfaces, and formation control for aerial swarms. Cho’s most cited work, “Learning and detecting abnormal speed of marine robots” (2021, 12 citations), introduces novel algorithms that enable marine robots to detect anomalies in their trajectories by learning unknown ocean flow fields—a critical contribution to autonomous navigation in dynamic underwater environments. He has also advanced human-swarm interaction through his 2025 paper on formation control for robotic blimp swarms, which employs a dynamic leader-switching mechanism to assist human operators in managing complex aerial formations. Additionally, his 2024 study on time delay identification in human-blimp pointing tasks applies the VITE model to improve responsiveness in miniature autonomous blimp interactions. Cho’s research bridges theoretical control systems with practical applications in marine and aerial robotics, demonstrating significant potential for enhancing autonomous vehicle safety and cooperative human-robot teamwork.
Research Focus
Key Achievements
Top Papers
- 1Learning and detecting abnormal speed of marine robots12 citations · 2021
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