Yifan Peng

Huazhong University of Science and Technology

Papers

Total Citations

H-Index

About

Yifan Peng is a researcher focused on advancing intelligent manufacturing and robotic welding technologies, with a particular emphasis on 3D sensing and automation. His most cited work, "3D curve weld seam path and posture planning based on line laser sensors" (2025, 12 citations), introduces a novel method for real-time path and posture planning of welding robots using line laser sensors. This contribution addresses critical challenges in automated welding of complex 3D curved surfaces, enhancing precision and efficiency in industrial applications. Peng’s research integrates computer vision, sensor fusion, and robotics to improve adaptive control in manufacturing processes. While his citation count is still growing, the practical significance of his work has already drawn attention from both academia and industry, particularly in sectors requiring high-quality, flexible welding solutions. His achievements highlight a promising trajectory in the field of intelligent robotic systems, where his methods offer tangible improvements in automation reliability and workpiece quality.