Papers
9
Total Citations
122
H-Index
7
About
Guillaume Sarthou is a leading researcher in human-robot interaction (HRI), focusing on how robots can understand and communicate with people in shared spaces. His work centers on three key areas: semantic memory for robots, socially intelligent navigation, and human-aware task planning. Sarthou’s major contribution is the development of Ontologenius, a long-term semantic memory framework that enables robots to store, reason about, and use knowledge about their environment and human needs—a system that has garnered 21 citations and is foundational for context-aware robotics. His research on the MuMMER project (17 citations) demonstrated a socially intelligent robot that interacts naturally in public spaces like shopping malls, while his four-phase study on robot guidance (31 citations) revealed critical insights into how robots should adapt their behavior to human expectations. Sarthou also introduced the Director Task (13 citations), a psychology-inspired benchmark for assessing cognitive robot architectures, and developed methods for efficient referring expression generation and semantic spatial representation. With over 120 total citations, his work bridges cognitive science and robotics, advancing robots that are not only functional but socially fluent—a vital step toward seamless human-robot collaboration in everyday environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Ontologenius: A long-term semantic memory for robotic agents21 citations · 2019
- 3MuMMER: Socially Intelligent Human-Robot Interaction in Public Spaces17 citations · 2019
- 4
- 5Human Aware Task Planning Using Verbal Communication Feasibility and Costs13 citations · 2020
- 6
- 7
- 8
- 9