Papers
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H-Index
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About
Jianlin Hao is a researcher specializing in robotics trajectory planning and intelligent manufacturing, with a particular focus on welding automation for complex structural components. Their most cited work, "Smooth swing trajectory and posture planning simulation of small gantry welding robot end based on NURBS curves" (2024), introduces a novel swing welding trajectory planning algorithm tailored for tasks like welding frames and doors in air-raid shelters. By manually calibrating the worktable position and welding starting point under a world coordinate system, Hao establishes a foundational approach to generating smooth, precise welding paths. This contribution addresses critical challenges in industrial automation—improving weld quality and reducing manual intervention in confined or irregular workspaces. While their citation count is currently modest, the work demonstrates practical relevance for small gantry robots in specialized manufacturing environments. Hao’s research bridges theoretical curve modeling (NURBS) with real-world robotic posture control, offering a scalable solution for similar welding tasks in construction and heavy equipment fabrication. Their focus on simulation-based planning highlights a commitment to reducing trial-and-error in physical setups, making their work valuable for engineers seeking efficient, repeatable welding processes.
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