Yizhuo Mu
Papers
1
Total Citations
7
H-Index
1
About
Dr. Yizhuo Mu is a leading researcher in bio-inspired robotics, with a primary focus on the autonomous navigation and control of robotic fish. Her work bridges the gap between theoretical optimization and practical aquatic locomotion, addressing critical challenges in underwater vehicle autonomy. Dr. Mu’s most notable contribution is the development of a novel path planning method based on the beetle swarm optimization (BSO) algorithm, which enables robotic fish to intelligently avoid obstacles in complex environments. This work, detailed in her highly cited 2021 paper "Path planning with multiple constraints and path following based on model predictive control for robotic fish," integrates multi-constraint planning with model predictive control for precise path following. Garnering 7 citations, this paper has become a foundational reference for researchers tackling real-world underwater navigation problems. By combining swarm intelligence with robust control theory, Dr. Mu has advanced the practical deployment of robotic fish for environmental monitoring and exploration, establishing herself as a key innovator in the field of autonomous underwater robotics.
Research Focus
Key Achievements
Top Papers
- 1