Joachim Linn

Fraunhofer Institute for Industrial Mathematics

Papers

Total Citations

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About

Joachim Linn is a leading researcher in the simulation and optimization of flexible mechanical systems, with a primary focus on industrial robotics and cable dynamics. His work addresses the critical challenge of managing "dress packs"—the complex bundles of cables, hoses, and wires that power and control industrial robots. Linn’s major contributions lie in developing computational methods for the virtual design and dynamical simulation of these flexible components, enabling engineers to predict and optimize their behavior without costly physical prototypes. His most-cited paper, "Quasi-static path optimization for industrial robots with dress packs" (2020, 22 citations), provides a practical framework for reducing wear and interference by optimizing robot motion paths. Earlier foundational work, "Virtual Design and Dynamical Simulation of Flexible Cables, Hoses, and Wires" (2014), established key simulation techniques for vehicle and production equipment applications. Linn’s research bridges the gap between theoretical mechanics and real-world engineering, helping to improve robot reliability, reduce maintenance costs, and accelerate design cycles. His contributions are particularly valuable for automotive and manufacturing industries where flexible cable management is critical to automation performance.