Ziqi Tian

Papers

Total Citations

H-Index

About

Ziqi Tian’s research lies at the intersection of robotics, computer vision, and intelligent automation, with a particular focus on enhancing industrial waste sorting through machine learning. In their most-cited work, “Design of Vision Servo Sorting Robot System Based on SVM” (2020, 3 citations), Tian addresses critical inefficiencies in traditional waste disposal—heavy workloads, low productivity, and safety risks—by integrating a support vector machine (SVM)-based intelligent identification and classification system with wireless communication. This system enables a single robot to autonomously recognize and sort materials, significantly improving both accuracy and operational safety. While the citation count is modest, the work’s practical relevance to sustainable manufacturing and smart recycling highlights its potential for real-world impact. Tian’s contributions demonstrate a clear commitment to applying machine learning to solve pressing environmental and industrial challenges, laying groundwork for more adaptive, vision-driven automation systems.