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About

Grigoris Nikolaou is an emerging robotics researcher whose work sits at the intersection of human-robot teaming, teleoperation, and AI-assisted autonomy, with particular emphasis on high-stakes deployments in hazardous environments. His research addresses some of the most pressing challenges in human-robot interaction: understanding what a human operator intends to do, and enabling intelligent systems to act as collaborative partners rather than passive tools. His most-cited work, a field report on robot-assisted nuclear disaster response conducted with KHG in Karlsruhe, Germany (35 citations), demonstrates a rare commitment to real-world validation of robotic systems under demanding operational conditions. Nikolaou has developed multiple frameworks for inferring operator intent during teleoperated navigation, employing both Bayesian and supervised machine learning approaches, and introduced Fessonia, a novel method for real-time cognitive workload estimation using behavioural entropy. His HierEMICS framework further advances mixed-initiative control, dynamically balancing authority between human operators and AI agents. More recently, he has explored large language model integration in social robotics and semantics-based situational awareness. With over 70 cumulative citations, Nikolaou's contributions are shaping the future of intelligent, human-centered robotic systems.