Fotis Liarokapis
Papers
5
Total Citations
153
H-Index
4
About
Fotis Liarokapis is a leading researcher at the intersection of brain-computer interfaces (BCIs), human-robot interaction, and extended reality (XR). His pioneering work has fundamentally advanced how humans can control machines using only mental activity. In his highly cited 2013 pilot study (63 citations), he systematically evaluated commercial BCIs in both real and virtual environments, establishing critical benchmarks for the field. His research on brain-controlled robotics, including tele-operating robots through EEG signals (44 citations) and navigating robots using closed neuro-feedback loops (35 citations), demonstrated that off-the-shelf components could create functional BCI systems. More recently, Liarokapis has pushed boundaries by integrating Large Language Models with XR technologies (2025, 9 citations), creating conversational agents that bridge industrial expertise and immersive training. His 2022 work on embodied virtual avatars addresses a persistent challenge—reducing BCI training time through motor imagery paradigms. Throughout his career, Liarokapis has consistently focused on making brain-controlled systems more practical and accessible, from robot navigation to industrial knowledge transfer, establishing himself as a transformative figure in human-machine interaction.
Research Focus
Key Achievements
Top Papers
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- 3Robot Navigation Using Brain-Computer Interfaces35 citations · 2012
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