Yan Piao

Changchun University of Science and Technology

Papers

Total Citations

H-Index

About

Yan Piao is a researcher whose work sits at the intersection of robotics, automation, and intelligent logistics systems. His most notable contribution focuses on the positioning of Automated Guided Vehicles (AGVs) using LiDAR technology, addressing one of the core challenges in modern warehouse and logistics automation. Published in 2021, this research has garnered 7 citations and reflects the broader industrial shift from labor-intensive manual operations to technology-driven intelligent management systems — a transformation largely accelerated by the explosive growth of e-commerce. Piao's work tackles the critical problem of precise indoor navigation for AGV robots, leveraging LiDAR sensor data to achieve reliable real-time positioning in dynamic environments. This contribution is particularly significant given the increasing deployment of autonomous mobile robots in fulfillment centers and smart factories worldwide. While still building his citation profile, Piao's research addresses genuinely high-demand industrial challenges, making his work practically relevant to engineers and logistics technology developers. For students and researchers exploring autonomous navigation, sensor fusion, or smart manufacturing systems, Piao's investigations into AGV positioning offer a focused and technically grounded entry point into this rapidly evolving field.