Yonglin Huang

Southwest University of Science and Technology

Papers

Total Citations

H-Index

About

Yonglin Huang’s research bridges robotics, automation, and agricultural engineering, with a focus on intelligent path planning and real-time machine vision. In his most cited work, “Path planning algorithm for sweeping robot full traversal cleaning area,” Huang tackles a core challenge in mobile robotics: enabling a sweeping robot to efficiently and completely cover a complex, dynamic environment. His algorithm provides a robust solution for both static and dynamic scenarios, a critical contribution to the growing field of domestic service robots. This work, published in 2022, has already garnered 2 citations, signaling its relevance to ongoing robotics research. Earlier, Huang demonstrated his versatility in agricultural automation with his 2004 paper, “Methodology for images grabbing of massive numbers of moving fruits.” Here, he developed a real-time image acquisition system for a fruit quality inspection and grading robot, integrating a color camera, frame grabber, and proximity sensors to capture high-speed moving fruit. This foundational work in machine vision for agricultural robotics has also earned 2 citations. Together, Huang’s contributions highlight his ability to solve practical, real-world problems—from household cleaning to food sorting—using algorithmic innovation and sensor integration.