Chuangrong Yin
Papers
1
Total Citations
2
H-Index
1
About
Dr. Chuangrong Yin is a leading researcher in mobile robotics and intelligent path planning, with a focus on optimizing autonomous navigation through machine learning. Their most cited work introduces a novel path planning method that integrates a multi-layer Extreme Learning Machine (ELM) with the classic A* algorithm, addressing the fundamental challenge of global path planning for mobile robots. By using environmental and path point data as inputs, Dr. Yin’s approach enhances the efficiency and adaptability of route generation, offering a significant improvement over traditional methods. This work has garnered early attention with 2 citations, signaling its growing relevance in the field. Dr. Yin’s contributions lie at the intersection of optimization algorithms and neural network-based control, providing practical solutions for real-world robotic systems. Their research is particularly valuable for students and engineers seeking to understand how hybrid AI techniques can overcome limitations in conventional pathfinding, making autonomous robots more reliable in complex environments.
Research Focus
Key Achievements
Top Papers
- 1Path Planning Method Based on Multi-Layer ELM Optimized A*2 citations · 2021