Zhaoguang Sun
Papers
1
Total Citations
12
H-Index
1
About
Zhaoguang Sun is a pioneering researcher in bio-inspired robotics, with a primary focus on robotic fish locomotion and underwater sensing. His work centers on understanding how artificial lateral line (ALL) systems—inspired by fish’s natural sensory organs—can enable robots to perceive and navigate complex aquatic environments. Sun’s most cited study (2023, 12 citations) investigates the flow field characteristics of a self-propelled robot fish as it approaches static obstacles in still water. By calculating pressure distribution on the fish body surface at varying separation distances, he provides critical insights into how robots can detect obstacles without vision, advancing the field of autonomous underwater navigation. This work bridges fluid dynamics and robotics, offering practical solutions for environmental monitoring, underwater exploration, and search-and-rescue missions. Sun’s contributions are foundational for developing more agile, perceptive robotic systems that mimic biological sensing, with implications for both engineering and marine biology. His research continues to inspire new approaches to bio-inspired design and sensor integration.
Research Focus
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Top Papers
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