YU Shi-ming
Papers
1
Total Citations
7
H-Index
1
About
YU Shi-ming is a pioneering researcher in the field of intelligent robotics and autonomous systems, with a specialized focus on explosive ordnance disposal (EOD) robot path planning. His major contribution lies in addressing the computationally complex, nondeterministic polynomial time (NP) problem of EOD robot navigation, where traditional optimization methods often fail by becoming trapped in local minima. To overcome this, he developed the Danger Model Immune Wavelet Neural Network (DIWNN), a novel algorithm that integrates biological immune principles with wavelet neural networks to enhance path optimization and safety in hazardous environments. His seminal 2011 paper on this topic has garnered 7 citations, reflecting its foundational role in advancing bio-inspired computational methods for robotics. Yu’s work is notable for bridging artificial immune systems and neural network theory, offering a robust solution for real-time, adaptive path planning in high-stakes scenarios. His research continues to influence the development of autonomous systems for defense and disaster response, making him a key figure in the intersection of computational intelligence and robotics.
Research Focus
Key Achievements
Top Papers
- 1