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About

Henrik John Andersen is a robotics and automation researcher whose work has focused primarily on advancing intelligent industrial robotic systems, with particular emphasis on automated spray painting and sensor-guided manufacturing processes. He is best known for his contributions to the EU-funded FlexPaint project, which developed a groundbreaking methodology for automatically generating robot programs for spray painting unknown parts — eliminating the need for time-consuming offline programming that had previously made robotic painting economically viable only for large production runs. His most-cited work, "Automatic Robotic Spray Painting of Low Volume High Variant Parts" (2002, 17 citations), demonstrated how advances in sensors and processing power could enable fully automated robot programming for high-mix, low-volume industrial tasks. His subsequent work on the "inverse approach" of FlexPaint further refined this paradigm, garnering an additional 15 citations and reinforcing his standing as a key figure in flexible manufacturing automation. Andersen has also contributed to sensor-based robot laser welding, exploring feed-forward and gain-scheduling algorithms for precision manufacturing. His research collectively addresses a critical industrial challenge: making robotic automation accessible and economically feasible across diverse production environments.