Papers
1
Total Citations
8
H-Index
1
About
Yunan Liu is a researcher focused on robotics and intelligent control systems, with particular expertise in collaborative robot dynamics and parameter identification. Their major contribution lies in developing advanced optimization algorithms for precise robot modeling, most notably through their work on an improved artificial fish swarm algorithm for dynamic parameter identification. This approach addresses a critical challenge in collaborative robotics: obtaining accurate dynamic models essential for precise control. Liu’s research has practical implications for improving the performance and safety of human-robot collaboration in industrial settings. Their most-cited paper, "Parameter Identification of Collaborative Robot Based on Improved Artificial Fish Swarm Algorithm" (2020), has garnered 8 citations, demonstrating its relevance in the field. By enhancing the accuracy of robot models through bio-inspired optimization techniques, Liu’s work supports advancements in automation and intelligent manufacturing. Their contributions are particularly valuable for researchers and engineers seeking to refine robot control systems, making collaborative robots more efficient and reliable in real-world applications.
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Top Papers
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