Lingxuan Xiong

Papers

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About

Lingxuan Xiong is an emerging researcher in construction robotics and automation, with a focus on integrating machine vision and intelligent path planning to solve practical, labor-intensive tasks. Their most-cited work, "Rebar-tying Robot based on machine vision and coverage path planning" (2024, 16 citations), introduces a novel robotic system that automates the critical but physically demanding process of rebar tying in construction. By combining real-time visual perception with efficient coverage path planning algorithms, Xiong’s approach enhances precision and reduces human exposure to hazardous environments. This contribution addresses a key bottleneck in modern construction, offering a scalable solution that improves both safety and productivity. Though early in their career, Xiong’s work has already garnered attention for its practical impact and interdisciplinary methodology, bridging computer vision, robotics, and civil engineering. Their research holds promise for transforming traditional construction sites into smarter, more automated workplaces, making them a notable figure in the growing field of construction automation.