Papers
3
Total Citations
18
H-Index
3
About
Chiqin Li is a researcher at the forefront of intelligent robotics and smart manufacturing, with a focus on the intersection of physical dynamics, cybersecurity, and optimization. Li’s work addresses critical challenges in modern industrial automation, particularly in modeling robot dynamics and securing networked robotic systems against cyber threats. Their 2023 paper on robot dynamics modeling introduced a novel friction model and used constrained differential evolution to extract feasible parameters, earning 11 citations for its practical impact on precision control. Li also investigates vulnerabilities in smart manufacturing, as seen in their 2023 study on data integrity attacks and countermeasures for networked industrial robots (4 citations). More recently, in 2024, they proposed a covert attack detection strategy combining physical dynamics with a stacked transformer model (3 citations), advancing the field’s ability to safeguard robotic systems. Li’s work is notable for bridging theoretical optimization with real-world security challenges, making significant contributions to both the reliability and safety of next-generation automated systems.
Research Focus
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Top Papers
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