Papers

3

Total Citations

48

H-Index

3

About

Jason R. Marden is a leading figure in the theory and application of multiagent systems, with a core focus on game theory, distributed control, and robotic coordination. His seminal work on "designing games to handle coupled constraints" (2010, 38 citations) provides a foundational framework for engineering local control laws that guarantee desirable global behavior in systems like cooperative robotics and distributed power control. This contribution is pivotal for ensuring system-level objectives are met despite individual agent autonomy. More recently, Marden has advanced the field of persistent surveillance through distributed Markov chain-based strategies (2023, 5 citations), offering mathematically rigorous yet unpredictable patrol patterns for multi-robot teams. He has also tackled adversarial path defense in dynamic Defender-Attacker Blotto games (2023, 5 citations), where robots must protect critical infrastructure with limited information. These works highlight his ability to bridge theoretical game design with practical robotic challenges. Marden’s research is highly influential, shaping how engineers design decentralized algorithms for complex, coupled systems, and his contributions continue to inspire new directions in multi-robot coordination and security.

Research Focus

Key Achievements

3
H-Index
3
Papers
48
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Designing games to handle coupled constraints
38 citations · 2010
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: University of Colorado Boulder, University of California, Santa Barbara

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago