Runtong Li
Papers
2
Total Citations
11
H-Index
2
About
Runtong Li is a researcher specializing in advanced control systems for collaborative robotics, with a focus on enhancing trajectory tracking under real-world uncertainties. Their major contributions lie in developing robust control designs that address the challenges of model-based uncertainties in six-degree-of-freedom collaborative robots. Li’s most-cited work, "Advanced robust control design and experimental verification for trajectory tracking of model-based uncertain collaborative robots" (2023, 8 citations), presents a novel approach that combines model-based PD control with robust algorithms, verified through experimental validation. A second key paper, "A New Practical Robust Control Design for Model-based Uncertain Collaborative Robot" (2023, 3 citations), introduces the MPDP controller, which uses Lyapunov theory to ensure stability and improved performance. These works have practical implications for industrial automation, where precise robot motion is critical. Li’s research is notable for bridging theoretical control methods with experimental verification, offering solutions that enhance the reliability and accuracy of collaborative robots in uncertain environments. Their work is a valuable resource for students and researchers in robotics and control engineering.
Research Focus
Key Achievements
Top Papers
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