Jonas Kressin

Fraunhofer Chalmers Research Centre for Industrial Mathematics

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About

Jonas Kressin is a leading researcher in industrial robotics, specializing in the optimization of robot placement and motion planning for complex manufacturing environments, particularly automotive assembly. His work addresses critical challenges in cluttered cells, where robots must navigate alongside workpieces, fixtures, and sensitive dress packs—the cables and hoses supplying power and coolant. Kressin’s major contributions include a novel method for optimal robot placement to maximize flexibility and throughput, detailed in his most-cited paper (49 citations). He also pioneered quasi-static path optimization to mitigate dress pack wear, a primary cause of downtime and costly replacements. His research on automatic path planning for adhesive joining (13 citations) supports lightweight vehicle construction by enabling efficient, automated bonding of dissimilar materials. Notably, a factory study underpinning his dress pack work revealed that many robots require multiple replacements per year, with lifespan varying dramatically—from months to years—underscoring the practical impact of his optimization strategies. Kressin’s integrated approach to station layout and motion planning directly reduces online adjustments and operational costs, making him a key figure in advancing robust, high-throughput robotic automation.