Sotiris Papatheodorou
Imperial College London, New York University Abu Dhabi, Technical University of Munich, University of Patras
Papers
8
Total Citations
201
H-Index
5
About
Sotiris Papatheodorou is a robotics researcher whose work spans autonomous aerial exploration, multi-robot coordination, and semantic mapping. He is perhaps best known for his highly influential 2020 paper "Fast Frontier-based Information-driven Autonomous Exploration with an MAV," which has accumulated over 130 citations and introduced a novel entropy-reduction strategy enabling Micro Aerial Vehicles to efficiently explore unknown environments — a foundational contribution to the autonomous robotics community. His earlier work established rigorous theoretical and experimental frameworks for distributed area coverage with mobile robot networks under imprecise localization conditions, tackling a critical real-world challenge that prior literature often overlooked by assuming perfect positional knowledge. More recently, Papatheodorou has pushed exploration beyond purely geometric objectives, developing semantic, object-centric exploration strategies that make autonomous robots more practically useful for real-world tasks. His 2025 work on submap-based MAV exploration further demonstrates his continued commitment to scalable, sensor-agnostic autonomy. Across his career, Papatheodorou has consistently bridged theoretical foundations and experimental validation, making him a notable voice in both multi-agent systems and aerial robotics research.
Research Focus
Key Achievements
Top Papers
- 1Fast Frontier-based Information-driven Autonomous Exploration with an MAV133 citations · 2020
- 2Distributed area coverage control with imprecise robot localization23 citations · 2018
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