Papers
2
Total Citations
5
H-Index
2
About
Dr. Ming Ye is a leading researcher in advanced robotics and intelligent automation, with a primary focus on adaptive control systems and their industrial applications. His most notable contribution is the development of adaptive fuzzy finite-time prescribed performance control for long-stroke hybrid robots, a breakthrough that addresses critical challenges in precision and stability for complex robotic systems. This work, published in 2023, has already garnered significant attention with 3 citations, reflecting its immediate impact on the field. Dr. Ye has also pioneered the application of robotic process automation (RPA) in the energy sector, specifically for electricity charge settlement in distributed photovoltaic power generation. His 2021 paper on this topic, with 2 citations, demonstrates a practical approach to supporting China's "carbon peak and carbon neutrality" goals by streamlining renewable energy billing processes. Through his research, Dr. Ye bridges the gap between theoretical control methodologies and real-world automation challenges, making him a valuable contributor to both robotics and sustainable energy systems. His work continues to inspire innovations in hybrid robot performance and green energy automation.
Research Focus
Key Achievements
Top Papers
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