Julian Hanke
Papers
7
Total Citations
51
H-Index
4
About
Julian Hanke is a leading researcher in industrial automation and distributed control systems, with a focus on the intersection of real-time communication, modular robotics, and Industry 4.0. His work centers on enabling flexible, self-configuring production environments through technologies like OPC UA over TSN (Time-Sensitive Networking) and Plug & Produce architectures. Hanke’s most cited paper, "Real-time capable OPC-UA Programs over TSN for distributed industrial control" (2020, 26 citations), establishes a foundational approach for seamless, real-time data exchange across shop floor and enterprise levels. He further developed the RealCaPP platform, a real-time capable communication and service architecture for distributed robot control, which allows industrial components to be dynamically added, replaced, or removed at runtime—a critical enabler for batch-size-one production. His research also explores self-organized resource allocation for reconfigurable robot ensembles and sensor-guided motions for precise component testing. By integrating ontologies for self-configuring systems and software-defined testing facilities, Hanke is driving the transition from rigid, hierarchical manufacturing to agile, adaptable production lines. His contributions are shaping the next generation of flexible, intelligent industrial automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2Self-Organized Resource Allocation for Reconfigurable Robot Ensembles7 citations · 2018
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- 5Sensor-guided motions for robot-based component testing3 citations · 2022
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