Philip Cooksey

Carnegie Mellon University

Papers

5

Total Citations

44

H-Index

3

About

Philip Cooksey is a leading researcher in multi-robot coordination and autonomous systems, with a primary focus on competitive robotics, particularly in the RoboCup Small Size League (SSL). His most impactful work centers on developing selectively reactive coordination algorithms that enabled the CMDragons team to achieve an unprecedented, dominant performance at RoboCup 2015, where they won all six games with a staggering 48 goals scored and zero conceded—a feat widely cited (25 citations) as a landmark in autonomous robot soccer. Cooksey’s contributions extend to opponent-aware ball-manipulation skills and intra-robot replanning, addressing the challenge of dynamic, adversarial environments by allowing individual robots to adapt team plans in real time. His research on rationale-driven team plan representations (2 citations) provides a novel framework for autonomous intra-robot replanning, ensuring robust execution even when centralized plans fail. With over 44 total citations across his key papers, Cooksey’s work has significantly advanced the fields of coordinated offense and defense, multi-agent systems, and real-time autonomous decision-making, making him a notable figure in robotics and AI for competitive domains.

Research Focus

Key Achievements

3
H-Index
5
Papers
44
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Selectively Reactive Coordination for a Team of Robot Soccer Champions
25 citations · 2016
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Carnegie Mellon University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago