Luyuan Zhang

Changchun University of Science and Technology

Papers

Total Citations

H-Index

About

Luyuan Zhang is a researcher focused on advancing automation and robotics, with key contributions in autonomous navigation and intelligent manipulation. Their work centers on integrating sensor technologies and deep learning to enhance robotic perception and decision-making in unstructured environments. Zhang’s most cited paper, “Research on the Positioning of AGV Based on Lidar” (2021, 7 citations), addresses the logistics industry’s shift from manual to technology-intensive operations by improving automated guided vehicle (AGV) localization using lidar—a critical step for efficient warehouse automation. Another notable study, “Detection method of robot grasp based on lightweight network” (2021, 2 citations), tackles the challenge of robotic grasping in irregular, cluttered scenes by proposing a computationally efficient neural network for accurate grasp posture estimation. While early in their career, Zhang’s work demonstrates practical impact, targeting real-world bottlenecks in e-commerce logistics and industrial robotics. Their research bridges hardware sensing and algorithmic efficiency, offering scalable solutions for smart manufacturing. With a growing citation record, Zhang is establishing a foundation for future innovations in autonomous systems and human-robot interaction.