Daniel Spieldenner

German Research Centre for Artificial Intelligence

Papers

Total Citations

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About

Daniel Spieldenner is a researcher focused on the intersection of human-robot collaboration, agent-based simulation, and industrial automation. His work centers on developing web-supported simulation frameworks that enable hybrid teams—where human workers, robots, and virtual agents cooperate seamlessly in flexible production environments. Spieldenner’s major contributions include creating optimized coordination models for industrial human-robot collaborations, addressing the growing need for adaptive, efficient processes in modern manufacturing. His most cited paper, "Agent-based Web Supported Simulation of Human-robot Collaboration" (2019), has garnered 8 citations and explores how virtual agents can enhance cooperation in hybrid teams, a key challenge for the production industry of the future. With additional works like "Optimized Coordination and Simulation for Industrial Human Robot Collaborations" (2020, 4 citations), Spieldenner has established himself as a contributor to the advancement of Industry 4.0 technologies. His research is particularly relevant for students and engineers interested in the practical integration of robotics, simulation, and human factors in smart factories.