Chunyou Wei

Guangxi University

Papers

3

Total Citations

35

H-Index

3

About

Chunyou Wei is a pioneering researcher in intelligent robotics, specializing in multi-robot coordination, cognitive control, and advanced path planning. His work bridges artificial intelligence and robotics, focusing on enabling autonomous systems to operate efficiently in complex, dynamic environments. Wei’s most cited paper, “Fuzzy A* Quantum Multi-Stage Q-Learning Artificial Potential Field for Path Planning of Mobile Robots” (2024, 22 citations), introduces a novel hybrid algorithm that integrates fuzzy logic, quantum-inspired learning, and potential fields—significantly improving navigation efficiency and obstacle avoidance for mobile robots. His earlier dissertation, “Cognitive Coordination for Cooperative Multi-Robot Teamwork” (2015, 10 citations), laid foundational insights into human-level intelligent multi-robot teams, emphasizing robustness and reliability through distributed coordination. More recently, his work on the “MAPPO-ITD3-IMLFQ algorithm” (2025, 3 citations) advances multi-robot path planning by combining multi-agent reinforcement learning with improved exploration strategies. With a growing citation impact, Wei’s contributions are shaping the next generation of autonomous robotic systems, offering practical solutions for logistics, search-and-rescue, and industrial automation. His research continues to inspire students and engineers aiming to push the boundaries of cooperative robotics.

Research Focus

Key Achievements

3
H-Index
3
Papers
35
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Fuzzy A∗ quantum multi-stage Q-learning artificial potential field for path planning of mobile robots
22 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Guangxi University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago