Chunyan Ke
Papers
1
Total Citations
20
H-Index
1
About
Chunyan Ke is a leading researcher in multi-robot systems, autonomous navigation, and intelligent control, with a particular focus on cooperative coverage path planning (CPP) and deep reinforcement learning (DRL). Her most cited work, "Cooperative Coverage Path Planning for Multi-Mobile Robots Based on Improved K-Means Clustering and Deep Reinforcement Learning" (2024, 20 citations), addresses the growing complexity of patrol tasks by integrating clustering algorithms with DRL to enable efficient, obstacle-aware collaboration among mobile robots. This contribution is pivotal for applications in surveillance, search-and-rescue, and environmental monitoring, where terrain constraints and operational limitations demand adaptive, scalable solutions. Ke’s research bridges the gap between theoretical reinforcement learning and practical multi-agent coordination, offering novel frameworks that improve coverage efficiency and robustness. Her work is widely recognized for its impact on autonomous systems, and she continues to advance the field by developing algorithms that enhance real-time decision-making in dynamic environments. For students and researchers, Ke’s publications provide a clear roadmap to cutting-edge techniques in multi-robot collaboration and intelligent path planning.
Research Focus
Key Achievements
Top Papers
- 1