Songming Xiang

Huazhong University of Science and Technology

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About

Songming Xiang is a leading researcher in intelligent manufacturing and robotic welding, with a primary focus on 3D weld seam detection and path planning. His most cited work, "3D curve weld seam path and posture planning based on line laser sensors" (2025), has already garnered 12 citations, reflecting its immediate impact on the field. Xiang’s key contributions lie in integrating line laser sensors with advanced algorithms to enable precise, real-time tracking of complex 3D weld seams, significantly improving automation in industrial robotics. By addressing posture planning for curved paths, his research reduces welding defects and enhances efficiency in sectors like automotive and aerospace manufacturing. Xiang’s work is notable for bridging sensor technology and robotic control, offering practical solutions for adaptive welding systems. His achievements underscore a commitment to advancing smart manufacturing, making his research essential for engineers and students exploring automation, sensor fusion, and robotic path optimization.