Lincheng Shen
Papers
28
Total Citations
559
H-Index
11
About
Lincheng Shen is a robotics researcher whose work sits at the dynamic intersection of biomimetics, underwater robotics, and intelligent control systems. He is best known for pioneering contributions to biologically inspired underwater propulsion, particularly robotic fins modeled after the undulating locomotion of Gymnarchus niloticus — an African electric fish renowned for its remarkable hydrodynamic efficiency. His 2008 study on the kinematics modeling and mechanism design of such undulating fins remains his most influential work, accumulating 131 citations and establishing a foundational framework for the field. Shen has consistently bridged biological observation and engineering implementation, developing bionic neural networks to govern fish-robot locomotion and applying learning control approaches — including supervised neural Q-learning — to enable robotic models to faithfully replicate complex fin-ray kinematics. His computational hydrodynamic studies have further deepened understanding of the fluid mechanics underlying undulating propulsion. Collectively, his underwater robotics publications have garnered hundreds of citations, demonstrating substantial impact on both academic research and practical robot design. More recently, Shen has extended his interests into autonomous robot navigation, contributing a notable review of visual odometry techniques, reflecting the breadth and evolution of his research vision.
Research Focus
Key Achievements
Top Papers
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- 7Bionic asymmetry: from amiiform fish to undulating robotic fins18 citations · 2009
- 8Learning Control for Biomimetic Undulating Fins: An Experimental Study16 citations · 2010
- 9A bionic neural network for fish-robot locomotion16 citations · 2006
- 10Visual odometry - A review of approaches15 citations · 2015