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About

Komlan Kolegain is a researcher whose work sits at the intersection of robotics, advanced manufacturing, and materials joining. His primary research focus is robotic friction stir welding (RFSW), a solid-state welding technique for aluminum components that leverages the flexibility of industrial robots. Kolegain’s major contributions address a critical challenge in RFSW: the elastic deformation of robot joints under the high forces generated during welding, which compromises path accuracy and weld quality. He has pioneered novel path-planning algorithms that integrate deflection compensation, using Bézier curves and B-splines to generate off-line, three-dimensional welding trajectories that anticipate and correct for robot compliance. His most-cited paper, “A feedforward deflection compensation scheme coupled with an offline path planning for robotic friction stir welding” (2018, 18 citations), along with his related work on Bézier-based programming (16 citations), has laid a foundation for more precise and reliable robotic welding in industrial settings. Though his citation counts are still growing, Kolegain’s research is notable for its practical engineering impact, offering a systematic solution to a persistent problem in automated solid-state welding. His work is essential reading for researchers and engineers developing high-force robotic processes.