Fuxiao Tan

Papers

Total Citations

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About

Fuxiao Tan is a researcher specializing in multi-robot coordination, cyber-physical systems, and adaptive control theory. His most cited work, "Multi-Robot Task Allocation Based on Cloud Ant Colony Algorithm" (2017, 19 citations), introduces a cloud-integrated optimization framework that leverages ant colony intelligence to efficiently distribute tasks among robotic swarms—a key contribution to scalable automation. In "Consensus Tracking for Teleoperating Cyber-physical System" (2018, 6 citations), Tan addresses the challenge of maintaining synchronized control in distributed teleoperation networks, advancing the reliability of human-robot interaction over communication channels. His earlier foundational paper, "Tracking control of nonholonomic mobile robot based on unfalsified adaptive PID theory" (2010, 6 citations), explores model-free adaptive control, where the unfalsified approach eliminates the need for plant models by using real-time input-output data to ensure performance consistency. This work demonstrates Tan’s commitment to robust, data-driven control strategies. With a cumulative impact spanning robotics, control systems, and cyber-physical integration, Tan’s research offers practical solutions for autonomous systems operating in uncertain environments, making his work highly relevant for students and engineers advancing intelligent, adaptive robotics.