Long Xiao

Minnan University of Science and Technology, Systems Engineering Society of China

Papers

Total Citations

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About

Long Xiao is a researcher specializing in robotics, intelligent control systems, and automation, with a particular focus on applying advanced computational methods to real-world engineering challenges. Their work centers on the development and optimization of control algorithms for robotic systems, most notably in the areas of palletizing robots and multi-robot coordination. Among their notable contributions is a 2022 study introducing a Fuzzy PID position control algorithm for palletizing robot motion control systems, implemented on an FPGA hardware platform to address limitations in traditional approaches such as low efficiency and poor control precision. This work has garnered 7 citations, reflecting growing interest in intelligent control for industrial automation. Earlier research from 2009 explored collision prevention strategies for multi-robot systems using fuzzy logic control, proposing a streamlined three-layer architecture capable of navigating both static obstacles and dynamic robot interactions — a foundational contribution to safe multi-agent robotic operation. Long Xiao's research demonstrates a sustained commitment to bridging fuzzy logic theory with practical robotics applications, making their work particularly relevant to students and engineers seeking intelligent, adaptive solutions for complex motion control and autonomous systems design.