Xinyan Tan

Papers

Total Citations

H-Index

About

Xinyan Tan is a robotics researcher whose work centers on the integration of machine vision and autonomous path planning for construction automation. Their most-cited paper, "Rebar-tying Robot based on machine vision and coverage path planning" (2024), has already garnered 16 citations, signaling a growing impact in the field. In this work, Tan developed a robotic system that uses advanced computer vision to identify rebar intersections and a coverage path planning algorithm to efficiently navigate and tie them—addressing a critical labor-intensive and hazardous task in construction. This contribution not only demonstrates practical automation for the built environment but also advances the broader application of robotics in unstructured, outdoor settings. Tan’s research bridges the gap between theoretical planning algorithms and real-world deployment, offering a scalable solution that could reduce workplace injuries and improve productivity. With a focus on machine vision, path planning, and construction robotics, Tan is establishing themselves as an emerging voice in the automation of physically demanding tasks, with potential for significant societal and industrial impact.