Lin Ke Chen
Papers
1
Total Citations
23
H-Index
1
About
Lin Ke Chen is a leading researcher in bio-inspired robotics and computational intelligence, with a primary focus on biomimetic locomotion control and multi-objective evolutionary optimization. His most influential work, "Multi-objective evolutionary design of central pattern generator network for biomimetic robotic fish" (2022, 23 citations), introduces a novel framework that combines Central Pattern Generators (CPGs) with evolutionary algorithms to produce robust, smooth, and coordinated oscillatory signals for robotic fish control. This contribution addresses a critical challenge in underwater robotics—achieving efficient, adaptive locomotion inspired by biological systems. Chen's research bridges the gap between neural control mechanisms and practical robotic design, offering scalable solutions for autonomous underwater vehicles. His work has been recognized for its interdisciplinary impact, influencing both evolutionary computation and marine robotics communities. By demonstrating how multi-objective optimization can fine-tune CPG parameters for speed, stability, and energy efficiency, Chen has paved the way for more agile and resilient biomimetic systems. His ongoing research continues to push the boundaries of intelligent control in complex environments, making him a key figure in the advancement of nature-inspired engineering.
Research Focus
Key Achievements
Top Papers
- 1