Chun-Peng Tian

Papers

Total Citations

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About

Chun-Peng Tian is a researcher whose work lies at the intersection of robotics, intelligent control, and fuzzy systems. His most-cited paper, "Trajectory tracking control of wheeled mobile robots via fuzzy approach" (2014, 12 citations), addresses a fundamental challenge in mobile robotics: achieving precise motion control despite uncertain physical parameters. By deriving kinematic and dynamic models using Lagrange's equations and applying fuzzy logic to compensate for parameter inaccuracies, Tian proposed a robust control framework that enhances the reliability of autonomous navigation. This contribution is particularly relevant for applications in service robotics, automated logistics, and autonomous vehicles. While his citation count reflects a focused and emerging impact, Tian's work demonstrates a strong technical foundation in nonlinear control theory and soft computing. His research is valuable for students and engineers seeking practical, model-based solutions to real-world robotic control problems, bridging the gap between theoretical dynamics and implementable intelligent systems.