Klaus Gramann
Papers
2
Total Citations
51
H-Index
2
About
Klaus Gramann is a leading researcher at the intersection of cognitive neuroscience and human-machine interaction, with key contributions to passive brain-computer interfacing (BCI) and neuroergonomics. His work focuses on using electroencephalography (EEG) to monitor cognitive states in real-world settings, particularly in robotic surgery and physical human-robot collaboration (pHRC). In his highly cited 2016 paper (42 citations), Gramann pioneered automated task load detection from EEG signals, enabling systems to adaptively support surgeons during critical or stressful moments—a breakthrough for passive BCI in high-stakes environments. More recently (2024), he advanced the field by predicting cognitive conflict during unexpected robot behavior under varying mental workload conditions, demonstrating how BCI can enhance safety and trust in collaborative robotics. With over 9 citations on this emerging work, Gramann’s research directly addresses the challenge of integrating human cognitive states into dynamic, physical human-robot teams. His notable achievements include developing real-time neuroadaptive interfaces that anticipate user needs, positioning him at the forefront of neuroergonomic design for next-generation human-machine systems.
Research Focus
Key Achievements
Top Papers
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