Yanlian Jiang

Papers

Total Citations

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About

Yanlian Jiang is a researcher focused on advancing automation and intelligent manufacturing, with a particular emphasis on lightweight robotics and sorting systems. Her work addresses the growing demand for efficient, cost-effective robotic solutions in China’s manufacturing sector, specifically targeting detection and sorting stations. Jiang’s most-cited paper, “Research on Robot Technology with Fewer Degree of Free for Detecting and Sorting Station” (2023), explores the application of robots with reduced degrees of freedom (DOF) for ligature box sorting, offering a streamlined approach to automation that balances functionality with simplicity. While her citation count is modest—currently at 1—this work highlights her contribution to optimizing industrial processes through specialized robotic design. Jiang’s research is particularly relevant as industries seek to upgrade production lines with agile, lower-cost automation. Her focus on fewer-DOF robots represents a practical innovation for manufacturing environments, potentially reducing complexity and expense while maintaining sorting accuracy. As a researcher, Jiang is carving a niche in applied robotics, with her work serving as a stepping stone for further developments in lightweight automation. Her efforts underscore the importance of tailored robotic solutions in the broader push toward smart manufacturing.