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About

Alejandro Vargas-Uscategui is a researcher specializing in robotic additive manufacturing, with a particular focus on cold spray additive manufacturing (CSAM) of titanium and other advanced materials. His work sits at the intersection of process engineering, robotics, and computational geometry, addressing some of the most pressing challenges in producing large, near-net-shape components with high precision and productivity. Vargas-Uscategui's most influential contribution — his 2021 paper on toolpath planning for titanium walls and corners, which has garnered 46 citations — established foundational insights into how deposition geometry and porosity are shaped by robot motion strategies. Building on this, he has developed continuous toolpath algorithms derived from offset contours, enabling geometrically accurate, defect-minimized builds. His 2024 work on in-process 4D reconstruction demonstrates a sophisticated integration of real-time sensing with robotic deposition, capturing the dynamic evolution of manufactured parts during fabrication. He has also advanced robotic metrology through a streamlined hand–eye calibration method for multi-profiler scanning systems, improving 3D measurement accuracy in manufacturing environments. Collectively, his publications reflect a researcher pushing the boundaries of autonomous, high-fidelity additive manufacturing — making him a valuable reference point for students and engineers working in advanced manufacturing and industrial robotics.