Torben Wiese

Fraunhofer Institute for Machine Tools and Forming Technology

Papers

Total Citations

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About

Torben Wiese is a leading researcher in industrial automation, specializing in flexible robotics and cognitive manufacturing systems. His work addresses the critical challenge of adapting automation to volatile production demands, particularly in brownfield environments where legacy equipment dominates. Wiese’s most cited paper, "Flexible skill-based control for robot cells in manufacturing" (2022, 9 citations), introduces a paradigm shift by decoupling robot control from hardware-specific programming, enabling rapid reconfiguration for small-batch production. This skill-based architecture allows robots to adapt to tasks without manual reprogramming, directly tackling the inefficiencies of decreasing batch sizes. His 2024 study on cognitive robots (4 citations) further advances this vision by emulating operator capabilities—such as adaptive decision-making and error recovery—to provide short-term automation solutions for labor shortages without costly infrastructure overhauls. Notably, Wiese’s 2021 work on interface-free camera-based connections (4 citations) eliminates the need for physical or software integration between mobile robot cells and machine tools, a breakthrough for retrofitting existing factories. With a growing citation impact, Wiese’s research is pivotal for democratizing automation, making it accessible for small and medium enterprises. His contributions are shaping the next generation of flexible, human-like robotic systems for Industry 4.0.