Tieliang Qiao

Guilin University of Electronic Technology

Papers

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About

Tieliang Qiao is a researcher focused on advanced manufacturing and robotic repair technologies, particularly in the domain of laser cladding and surface engineering. His key research areas include 3D measurement, point cloud processing, and automated path planning for repairing worn industrial components. Qiao’s major contribution lies in developing a smooth path generation method for laser cladding bit repair robots, which addresses the challenge of irregular, worn surfaces by integrating 3D automatic measurement of wear surface point clouds. This work, published in 2021, has garnered 4 citations and represents a practical solution for restoring high-value drill bits used in mining and construction. By enabling precise, automated cladding on complex geometries, his research enhances the efficiency and durability of repaired tools, reducing waste and operational costs. Qiao’s approach stands out for its combination of sensing and robotics, offering a scalable pathway for industrial maintenance. His contributions are particularly valuable for students and researchers interested in the intersection of robotics, additive manufacturing, and surface metrology, highlighting the potential of data-driven methods to solve real-world wear and tear challenges.