Papers
6
Total Citations
113
H-Index
5
About
Thibault Gateau is a leading researcher at the intersection of physiological computing and human-robot interaction (HRI), whose work seeks to make autonomous systems truly responsive to their human operators. His most influential contribution, the 2020 paper "How Can Physiological Computing Benefit Human-Robot Interaction?" (52 citations), argues that as systems become more automated, the operator’s cognitive load and mental states are critically overlooked. Gateau proposes integrating real-time physiological data—such as eye-tracking and brain activity—to adapt robot behavior, a concept that has shaped the field of adaptive HRI. Earlier, he developed HiDDeN (2013), a distributed architecture enabling heterogeneous robots to cooperatively plan and repair missions in uncertain environments. His 2016 work on modeling human non-deterministic behavior (20 citations) introduced a (MO)MDP decision framework that uses eye-tracker data to assess operator availability, ensuring safer human-robot collaboration. Notably, Gateau has also explored the ethical dimensions of robotics, designing experimental protocols to study operator behavior when robots appear to make moral decisions (2015). With a career spanning multi-robot mission supervision, plan repair, and cognitive state-aware systems, Gateau’s research is foundational for creating truly collaborative, human-centered autonomous teams.
Research Focus
Key Achievements
Top Papers
- 1How Can Physiological Computing Benefit Human-Robot Interaction?52 citations · 2020
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- 6Knowledge Base for Planning, Execution and Plan Repair2 citations · 2012