Papers
2
Total Citations
18
H-Index
2
About
Panfeng Shu is a researcher specializing in the control and automation of wheeled mobile robots, with a particular focus on adaptive tracking control systems. His work addresses a critical challenge in robotics: enabling precise trajectory tracking without relying on direct longitudinal velocity measurements, which are often unavailable or unreliable in real-world applications. Shu’s major contributions include the development of novel adaptive control schemes that derive new tracking error equations, allowing robots to maintain stable and accurate motion even when velocity data is missing. His most influential paper, "A new adaptive tracking control scheme of wheeled mobile robot without longitudinal velocity measurement" (2017), has garnered 14 citations, demonstrating its impact on advancing robust control strategies. An earlier foundational work from 2012, "Adaptive tracking control scheme for wheeled mobile robots without measurement of longitudinal velocity," with 4 citations, laid the groundwork for this approach. Shu’s research is vital for applications in autonomous navigation, industrial automation, and service robotics, where sensor limitations are common. His innovative solutions continue to inspire further studies in adaptive and sensorless control systems.
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