Roland Bouffanais
Singapore University of Technology and Design, University of Ottawa
Papers
19
Total Citations
367
H-Index
12
About
Roland Bouffanais is a prominent researcher whose work spans swarm robotics, multi-agent systems, and autonomous environmental monitoring. His research sits at a compelling intersection of collective intelligence, decentralized control, and real-world robotic deployment, addressing some of the most challenging coordination problems in modern robotics and complex systems. Bouffanais has made significant contributions to swarm-based ocean monitoring, most notably through his work on autonomous buoy networks for large-scale waterbody surveillance, which has accumulated 58 citations and demonstrated practical scalability in environmental sensing. His investigations into multi-agent reinforcement learning — particularly a deep learning framework enabling UAV swarms to pursue multiple evasive targets (44 citations) — have pushed boundaries in autonomous coordination under adversarial conditions. His review of collective exploration-exploitation strategies (47 citations) has become an important reference for researchers designing cooperative robotic systems. Beyond robotics, Bouffanais has explored the social dynamics of collective decision-making, examining how behavioral contagion transitions from simple to complex propagation in swarms and human networks (41 citations). His work on miniature climbing robots with bio-inspired dry adhesives further demonstrates his versatility across hardware design and algorithmic innovation. Collectively, his research offers foundational insights for building smarter, more adaptive autonomous systems operating in complex, real-world environments.
Research Focus
Key Achievements
Top Papers
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- 4Transition from simple to complex contagion in collective decision-making41 citations · 2022
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- 10Optimal Swarm Strategy for Dynamic Target Search and Tracking15 citations · 2020