Papers
8
Total Citations
144
H-Index
6
About
Meiyan Zhang is a leading researcher in the field of autonomous underwater robotics and swarm intelligence, with a particular focus on cooperative artificial intelligence for multi-robot systems. Her work addresses critical challenges in underwater exploration and defense, including coverage path planning, collaborative hunting, and three-dimensional obstacle avoidance for autonomous underwater vehicles (AUVs). Zhang’s most impactful contribution, "Cooperative Artificial Intelligence for underwater robotic swarm" (71 citations), establishes foundational methods for coordinating robot teams in complex aquatic environments. She has also pioneered predator-prey reward-based Q-learning algorithms for mobile robot path planning (23 citations) and developed comprehensive frameworks for multi-AUV collaborative hunting in the Internet of Underwater Things (IoUT), encompassing target searching, tracking, and encirclement. Her innovative work on binocular-vision-based obstacle avoidance for underwater quadrocopter vehicles and sphere cross-section methods for 3-D obstacle avoidance demonstrates practical solutions for real-world deployment. With over 150 total citations across her publications, Zhang’s research bridges theoretical reinforcement learning with tangible robotic applications, from disinfecting robots to advanced swarm coordination, establishing her as a key contributor to the next generation of intelligent autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Cooperative Artificial Intelligence for underwater robotic swarm71 citations · 2023
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- 4Three-Dimensional Obstacle Avoidance for Autonomous Underwater Robot14 citations · 2020
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- 7Design of Indoor Disinfecting Intelligent Robot Based on ESP32 Chip3 citations · 2022
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