Patrick Zeising

Papers

Total Citations

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About

Patrick Zeising is a leading researcher in human-robot collaboration (HRC), with a focus on reducing worker anxiety and enhancing safety in industrial environments. His seminal work, "Reducing anxiety while interacting with industrial robots" (2016, 12 citations), pioneered methods to alleviate psychological stress during direct human-robot cooperation, challenging traditional approaches that relied on lightweight robots or spatial-temporal separation. Zeising demonstrated that collaborative systems could be designed to foster trust and comfort, directly addressing a critical barrier to HRC adoption. He further advanced the field with "Certifiable Software Architecture for Human Robot Collaboration in Industrial Production Environments" (2017, 4 citations), introducing a novel framework that enables safe, high-load collaboration without requiring physical barriers. This work laid the groundwork for certifiable, scalable HRC systems in heavy manufacturing. His German-language publication "Sichere Mensch-Roboter-Kollaboration durch Prädiktion" (2015, 3 citations) explored predictive algorithms to anticipate human movements, enhancing real-time safety. Zeising’s contributions are foundational to modern HRC, bridging psychological and technical safety to make industrial robots intuitive and trustworthy partners.