Xianyong Liu

Shanghai Jiao Tong University, Ningbo University of Technology

Papers

Total Citations

H-Index

About

Xianyong Liu is a researcher at the intersection of computer vision and robotics, with a primary focus on shape analysis, visual perception, and human-robot interaction. His most cited work, "Shape context based mesh saliency detection and its applications: A survey" (2016, 21 citations), provides a comprehensive overview of mesh saliency techniques—a key area for 3D object recognition and scene understanding. This foundational survey has helped guide subsequent research in geometric modeling and visual attention. Liu has also made notable contributions to applied robotics, particularly in assistive and service contexts. In "A Vision-Based Fruit Packaging Robot" (2021, 3 citations), he addressed practical automation challenges, demonstrating how computer vision can enable precise manipulation tasks. His work "Vision-Based Chess Detection for a Robotic Companion" (2021, 2 citations) explores socially assistive robotics for elderly care, aiming to provide both functional support and emotional companionship—a timely response to global aging populations. While his citation counts are modest, Liu’s research bridges theoretical vision algorithms with real-world robotic applications, particularly in healthcare and domestic automation. His work reflects a commitment to developing intelligent systems that enhance quality of life, from agricultural robotics to companion technologies for aging societies.