Lingchen Zuo
Papers
2
Total Citations
7
H-Index
2
About
Lingchen Zuo is a rising researcher in biomimetic robotics and underwater autonomous systems, with a focus on developing bio-inspired propulsion and control strategies. Their work centers on understanding how robotic fish can achieve superior hydrodynamic performance by mimicking natural aquatic locomotion. Zuo’s 2024 study on counterflow regions revealed how these flow features influence thrust and efficiency in biomimetic robotic fish, providing critical insights for designing quieter, more agile underwater vehicles. This work has already garnered 4 citations, signaling its relevance to the robotics and engineering communities. In 2025, Zuo advanced the field by proposing a distributed model predictive control framework for collaborative multi-target search using multiple bionic robotic fish, demonstrating how swarm intelligence can enhance search and rescue or environmental monitoring missions. This paper, with 3 citations, highlights Zuo’s ability to integrate control theory with biological inspiration. By bridging fluid dynamics and multi-agent coordination, Zuo is contributing to the next generation of efficient, adaptable underwater robots—a promising trajectory for a researcher whose work is already shaping the future of autonomous aquatic systems.
Research Focus
Key Achievements
Top Papers
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- 2