Chunyu Yang

China University of Mining and Technology

Papers

3

Total Citations

13

H-Index

3

About

Chunyu Yang is a leading researcher in mobile robotics, with a primary focus on autonomous navigation and control systems for hazardous environments, particularly coal mine rescue operations. His work addresses critical challenges in robot autonomy under extreme conditions, including poor illumination, slippery terrain, and dynamic obstacles. Yang's major contributions include developing a complete coverage path planning (CCPP) algorithm that integrates bioinspired neural networks with pedestrian location prediction, enabling real-time, collision-free navigation in crowded spaces—a significant advancement over passive obstacle avoidance methods. He has also pioneered multi-sensor fusion localization systems combining lidar, IMU, and wheel encoders, achieving robust positioning in catastrophic underground settings (4 citations). His innovative shared control method, based on a human-machine mutual trust model, enhances rescue robot efficiency by dynamically balancing operator input and autonomous decision-making (3 citations). With over 13 citations across his most-cited works, Yang's research directly impacts the safety and effectiveness of emergency response robotics, bridging the gap between theoretical path planning and real-world deployment in life-saving missions.

Research Focus

Key Achievements

3
H-Index
3
Papers
13
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Complete Coverage Path Planning Based on Bioinspired Neural Network and Pedestrian Location Prediction
6 citations · 2018
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: China University of Mining and Technology

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago