Giannis Petousakis
University of Birmingham, Bristol Robotics Laboratory, University of Manchester
Papers
5
Total Citations
62
H-Index
4
About
Giannis Petousakis is a leading researcher in human-robot interaction and autonomous systems, with a focus on enhancing robot-assisted disaster response. His work centers on developing advanced frameworks for human-robot teaming, particularly in high-stakes environments like nuclear emergencies. Petousakis’s most cited paper, “Robot-Assisted Nuclear Disaster Response: Report and Insights from a Field Exercise” (2022, 35 citations), provides critical findings from a five-day field exercise with Kerntechnische Hilfdienst GmbH, offering practical insights for deploying robots in radiological crises. He has made significant contributions to operator intent recognition, introducing a Bayesian-based approach (2021, 13 citations) and a supervised machine learning method (2023, 5 citations) that enable AI agents to infer human navigational goals during teleoperated robot control. This work is foundational for creating seamless human-robot collaboration. Additionally, his Hierarchical Expert-guided Mixed-Initiative Control Switcher (HierEMICS) framework (2022, 7 citations) addresses control authority transfer between operators and AI, advancing mixed-initiative systems in mobile robotics. With a total of over 60 citations, Petousakis’s research has direct implications for improving safety and efficiency in disaster response, making him a key figure in the evolution of cooperative human-machine systems.
Research Focus
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Top Papers
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