Papers
17
Total Citations
215
H-Index
8
About
Noury Bouraqadi is a prominent robotics researcher whose work sits at the intersection of multi-robot systems, autonomous exploration, and performance benchmarking. Over the course of his career, he has made significant contributions to how robotic teams coordinate, navigate, and are rigorously evaluated in complex environments. Bouraqadi's most influential work centers on establishing robust benchmarking frameworks for multi-robot exploration. His 2015 paper introducing performance metrics for multi-robot exploration (41 citations) has become a foundational reference in the field, followed by a widely adopted ROS-based simulation testbed (27 citations) that gives researchers practical tools for objective comparison of robotic solutions. His early investigations into network connectivity awareness (23 citations) and distributed constraint reasoning for exploration (22 citations) addressed critical coordination challenges that continue to shape multi-robot system design. Beyond coordination and benchmarking, Bouraqadi has contributed practical innovations in mapping formats, including vector and polygon-based map representations optimized for lightweight deployment in multi-robot systems. His methodology for testing mobile autonomous robots (17 citations) reflects a commitment to quality assurance as robotics increasingly enters commercial markets. More recently, his work has expanded into environmental monitoring, applying robotic simulation to water quality assessment. Collectively, his research portfolio demonstrates a sustained dedication to making multi-robot systems both smarter and more reliably evaluated.
Research Focus
Key Achievements
Top Papers
- 1Metrics for performance benchmarking of multi-robot exploration41 citations · 2015
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- 3Making networked robots connectivity-aware23 citations · 2009
- 4Distributed Constraint Reasoning Applied to Multi-robot Exploration22 citations · 2009
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- 6A methodology for testing mobile autonomous robots17 citations · 2013
- 7Team Size Optimization for Multi-robot Exploration14 citations · 2014
- 8Vector Maps: A Lightweight and Accurate Map Format for Multi-robot Systems11 citations · 2016
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