Xianfa Li

Papers

Total Citations

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About

Xianfa Li is a robotics researcher whose work focuses on advancing autonomous systems for construction and service applications. His primary research areas include monocular vision-based parameter estimation, robotic painting, and object detection for service robots in semi-structured indoor environments. Li’s most significant contribution is a novel painting parameters estimation scheme for mobile robotic painting, which uses monocular vision to replace manual operation in interior wall painting—a task critical to construction, installation, and repair industries. This work, published in 2018, has garnered 29 citations, underscoring its impact on improving efficiency and reducing costs in construction automation. Additionally, his 2019 paper on object detection based on color and shape features for service robots in semi-structured indoor environments, with 6 citations, demonstrates his commitment to enhancing robot perception in complex settings. Li’s research bridges the gap between theoretical vision algorithms and practical robotic applications, offering scalable solutions for real-world challenges. His achievements highlight a dedication to making construction and service robotics more intelligent and autonomous, providing a foundation for future innovations in these fields.