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About

Zelong Xia is a prominent researcher specializing in robotics, intelligent path optimization, and motion planning, with a particular focus on arc welding robot systems. His work sits at the intersection of computational intelligence and industrial automation, addressing some of the most complex challenges in robotic path planning and collision avoidance. Xia's most influential contribution, a comprehensive survey on welding robot intelligent path optimization (2020), has garnered 109 citations, establishing him as a leading voice in the field and providing the research community with a foundational reference for ongoing work. Building on this, his dual-objective collision-free path optimization methodology (2021) introduced a novel end-to-end framework encompassing workpiece modeling, collision-free path search, and global optimization — a significant advancement for industrial robotic welding applications. His development of the AEB-RRT* algorithm (2022, 51 citations) demonstrates his broader expertise in motion planning, offering an adaptive bidirectional approach that improves upon classical rapidly-exploring random tree methods. Further extending his contributions, his multiobjective optimization work using DMOEA/D-ET algorithms and proxy models addresses real-world welding efficiency and quality constraints. Collectively, Xia's research has meaningfully advanced the automation and intelligence of robotic manufacturing systems.