Marius Klug

University of Tübingen, Brandenburg University of Technology Cottbus-Senftenberg

Papers

Total Citations

H-Index

About

Marius Klug is a pioneering researcher at the intersection of human-robot interaction and passive brain-computer interfaces (BCIs). His work focuses on two key areas: endowing robots with emotionally intelligent, dynamic personalities, and leveraging EEG signals for seamless human-robot collaboration. In his foundational 2013 work, Klug implemented an emergent personality structure for robots based on psychological theory, enabling machines to express context-dependent emotions that directly influence their speech and reactions—a novel step toward more natural, engaging interaction. More recently, his 2024 feasibility study advances passive BCIs by introducing temporal derivative features and effect size-based feature selection for continuous, online EEG-based error detection. This work demonstrates practical methods for using error-related potentials (ErrPs) to improve assistive devices, promising truly adaptive human-robot teams. With his most-cited paper accumulating 13 citations, Klug’s contributions are shaping the future of intuitive, responsive robotics and non-invasive neural interfaces, bridging the gap between cognitive neuroscience and real-world robotic applications.