Yingliang Chen
Papers
1
Total Citations
9
H-Index
1
About
Yingliang Chen is a leading researcher in bio-inspired robotics, with a primary focus on amphibious and underwater locomotion systems. His most cited work, "Water Surface Stability Prediction of Amphibious Bio-Inspired Undulatory Fin Robot" (2021, 9 citations), tackles the critical challenge of maintaining stability in marine robots when transitioning between water and air, addressing interference from wind, waves, and load shifts. By developing predictive models grounded in fin motion equations and fluid dynamics, Chen has advanced the design of undulatory fin robots that mimic natural propulsion, enhancing their adaptability in complex aquatic environments. His contributions are pivotal for applications in marine exploration, environmental monitoring, and autonomous operations. With a growing citation impact, Chen’s research bridges theoretical fluid mechanics and practical robotics, offering robust solutions for real-world stability issues. His work stands out for its integration of bio-inspired principles with engineering precision, making him a notable figure in the field of amphibious robotics and a valuable resource for students and researchers exploring next-generation autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1