About

Paul Scerri is a prominent researcher in autonomous agents, multi-agent systems, and human-robot teaming, whose work has fundamentally shaped how robots, software agents, and humans collaborate on complex tasks. His contributions span theoretical frameworks and practical implementations, making him a bridge between academic research and real-world deployment. Scerri played a central role in the AAMAS conference series — the premier international forum for multi-agent systems research — helping to advance the field's global reach. His landmark 2003 paper on proxy-based infrastructures for distributed robot-agent-person teams (131 citations) established foundational coordination architectures still referenced today. His research into decentralized path planning for large robot teams tackled the formidable challenge of coordinating hundreds of robots in constrained environments, while his sustained investigation into how human operators scale across multi-robot systems — examining workload, autonomy modes, and team organization — produced critical insights for designing usable, effective human-robot systems. With work extending to low-cost autonomous marine platforms and adjustable autonomy frameworks, Scerri consistently demonstrated breadth alongside depth. Collectively, his publications have accumulated hundreds of citations, cementing his reputation as a pivotal figure in intelligent systems and collaborative robotics research.

Research Focus

Key Achievements

19
H-Index
44
Papers
1,075
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Proceedings of the 2014 international conference on Autonomous agents and multi-agent systems
181 citations · 2014
📈 Most Prolific Year: 2008 (9 Papers)
🤝 Key Collaborators: 85
🏛 Institutions: Carnegie Mellon University, University of Southern California, Linköping University, Perceptronics Solutions (United States), Platypus Technologies (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago