About

Chunying Li is a prominent robotics researcher whose work centers on autonomous underwater vehicles (AUVs), bio-inspired robotics, and multi-robot systems. Li has made significant contributions to the design, control, and coordination of spherical underwater robots, developing innovative solutions to some of the field's most pressing challenges — from obstacle avoidance and path optimization to multi-sensor fusion and hybrid propulsion systems. Among Li's most impactful contributions is research into multi-sensor information fusion strategies for spherical AUVs, which has garnered 49 citations, alongside pioneering work on jellyfish-inspired multi-robot task planning and collaboration (38 citations). These studies reflect Li's sustained interest in translating biological principles into practical robotic designs. Li has also advanced autonomous navigation through ultrasonic sensor-based obstacle avoidance frameworks and adaptive multi-mode switching strategies for hybrid thrusters, demonstrating a comprehensive approach to AUV maneuverability and resilience in dynamic marine environments. Extending beyond single-platform systems, Li's research on father–son underwater robot configurations for target acquisition highlights creative multi-robot architectures for real-world marine operations. With a growing body of work exceeding 260 total citations and research spanning tri-habitat robots to collaborative formation control, Chunying Li stands as a compelling figure in next-generation autonomous marine robotics.

Research Focus

Key Achievements

10
H-Index
30
Papers
335
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Characteristic evaluation via multi-sensor information fusion strategy for spherical underwater robots
49 citations · 2023
📈 Most Prolific Year: 2024 (8 Papers)
🤝 Key Collaborators: 27
🏛 Institutions: Kagawa University, Tianjin University of Technology, Southern University of Science and Technology, Graduate School USA

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago