Papers
16
Total Citations
350
H-Index
8
About
Dr. Zhang Li is a leading researcher at the intersection of intelligent manufacturing, robotics, and artificial intelligence, with a primary focus on optimizing complex industrial systems. Her major contributions lie in developing advanced algorithms for robotic disassembly and job scheduling, particularly in resource-constrained and uncertain environments. She pioneered the use of multi-agent and deep reinforcement learning to solve decentralized robot service scheduling in cloud manufacturing, a breakthrough that has garnered over 60 citations. Her work on a “super-fast bees algorithm” for robotic disassembly re-planning, cited 81 times, offers a novel two-pointer detection strategy that significantly improves efficiency. Dr. Zhang has also made notable strides in digital twin technology, proposing frameworks for developing digital twin industrial robot production lines and a credibility assessment method for equipment digital twins. Her research extends to computer vision, where she developed a convolutional neural network for electronic component classification, and underwater image enhancement to improve robotic perception. With a total of over 300 citations across her most-cited works, Dr. Zhang’s contributions are shaping the future of smart factories, autonomous robotics, and sustainable manufacturing.
Research Focus
Key Achievements
Top Papers
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- 7Underwater Image Enhancement via Modeling White Degradation11 citations · 2024
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