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About

Baoyu Wen is a researcher specializing in the control and coordination of mobile robotic systems, with a particular focus on nonholonomic wheeled robots. Their work addresses fundamental challenges in multi-robot systems, including leader-following consensus, formation tracking, and collision avoidance. Wen’s most-cited paper, “Leader-following consensus control of multiple nonholonomic mobile robots: An iterative learning adaptive control scheme” (2021, 12 citations), introduces an adaptive learning approach to achieve coordinated motion among robots without precise system models. In a subsequent study (2022, 6 citations), Wen tackles the critical issue of obstacle avoidance during formation tracking by transforming the under-actuated system into a fully-actuated one, enabling safer and more reliable multi-robot operations. Additionally, Wen has explored trajectory tracking for differential steering robots under time constraints using fuzzy logic control (2021, 3 citations), demonstrating versatility in addressing practical constraints like time limits. These contributions are valuable for advancing autonomous navigation in applications such as warehouse logistics, search-and-rescue, and environmental monitoring. Wen’s work bridges theoretical control design with real-world implementation challenges, making it a useful reference for students and researchers in robotics and automation.