Hong Zhao

Southern University of Science and Technology, China University of Petroleum, Beijing

Papers

Total Citations

H-Index

About

Hong Zhao is a leading researcher in intelligent robotic welding and automated manufacturing, with a primary focus on industrial robotics, weld seam recognition, and precision trajectory planning. Their work addresses critical challenges in large-scale metal fabrication, particularly for aluminum alloys and high-pressure pipelines. Zhao’s major contributions include developing a novel method for automatic surface grinding trajectory planning on curved aluminum alloy surfaces, which integrates weld seam recognition and defect positioning to significantly improve grinding efficiency—a breakthrough with 17 citations. They have also advanced pipeline welding technology by researching multi-layer filling strategies for compound narrow gap grooves, optimizing path planning for large-diameter pipes used in long-distance oil and gas transmission, earning 16 citations. These innovations directly enhance automation, quality, and productivity in heavy industries. Zhao’s research is highly impactful, with their papers cited in the context of smart manufacturing and robotic process optimization. Their work is notable for bridging the gap between theoretical path planning and real-world industrial applications, making them a key figure in the evolution of autonomous welding and surface finishing systems.