Jared Rosenbaum

The University of Texas at Austin

Papers

1

Total Citations

2

H-Index

1

About

Dr. Jared Rosenbaum is a leading researcher at the intersection of robotics, game theory, and autonomous systems. His primary contributions lie in developing mathematically rigorous frameworks for optimizing multi-robot coordination and design, with a particular focus on surface coverage applications. In his seminal work, "Gators: a Game-Theoretic Tool for Optimal Robot Selection and Design in Surface Coverage Applications" (2025, 2 citations), Rosenbaum introduced a novel game-theoretic approach that addresses the critical challenge of selecting and configuring robots from an increasingly crowded commercial marketplace. This work provides a systematic methodology for navigating the overwhelming variety of available robotic platforms, enabling users to make data-driven decisions that maximize coverage efficiency. His research bridges the gap between theoretical advances in game theory and practical deployment challenges, offering tangible solutions for real-world applications such as environmental monitoring, precision agriculture, and infrastructure inspection. Rosenbaum’s contributions are particularly timely given the exponential growth in robotic options, and his game-theoretic tools are poised to become standard references for engineers and researchers seeking to optimize robot teams for complex surface tasks.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Gators: a Game-Theoretic Tool for Optimal Robot Selection and Design in Surface Coverage Applications
2 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: The University of Texas at Austin

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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