Jixiang Lu

Papers

Total Citations

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About

Jixiang Lu’s research lies at the intersection of artificial intelligence, robotics, and industrial automation, with a primary focus on transforming traditional infrastructure inspection and manufacturing. His key contributions center on developing deep learning models for electric equipment inspection, where he pioneered a system that automates the detection and analysis of faults in insulators and transmission lines—a critical daily task for utilities. This work, cited 10 times, demonstrates how AI can replace manual patrols with faster, more reliable image recognition. Lu further advanced substation robotics by integrating depth imaging with deep learning to enable obstacle detection and distance measurement for patrol robots, a breakthrough that enhances both safety and automation in high-voltage environments. With 7 citations, this research addresses a core challenge in intelligent robotics. More recently, Lu has explored distributed manufacturing in the knitting industry, leveraging AI and industrial Internet technology to enable consumer-to-manufacturer (C2M) flexible supply chains. His work is notable for bridging cutting-edge computer vision with real-world industrial needs, offering practical solutions that improve efficiency and reduce human risk in critical sectors.