Chen-lung Lu

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About

Chen-lung Lu is a researcher specializing in industrial robotics, motion control, and precision automation systems. His work focuses on solving some of the most demanding challenges in robotic manufacturing: achieving fast, accurate, and smooth motion along complex three-dimensional spatial curves — capabilities critical to high-stakes industrial processes such as spraying, welding, and additive manufacturing. Lu's most notable contribution is his development of motion primitive-based frameworks for spatial curve tracking in industrial robots. His 2023 paper, "High-Speed High-Accuracy Spatial Curve Tracking Using Motion Primitives in Industrial Robots," garnered 11 citations and addressed the fundamental tension between tracking accuracy, path speed, and motion uniformity — three objectives that often conflict in real-world deployments. Building on this foundation, his 2024 work extended these principles to dual-arm robotic systems, demonstrating how coordinated multi-robot configurations can overcome the inherent speed limitations of single-arm setups, accumulating 6 citations shortly after publication. Collectively, Lu's research advances the frontier of robotic automation by making high-performance motion control more practical and scalable for modern manufacturing environments. His contributions are particularly valuable for engineers and researchers seeking to optimize throughput without sacrificing precision in complex robotic workflows.