Ryan Stonebraker
Papers
2
Total Citations
9
H-Index
2
About
Ryan Stonebraker is a robotics researcher whose work focuses on advancing multi-robot autonomy, particularly in extreme and unstructured environments. He is best known for his contributions to the DARPA Subterranean (SubT) Challenge as a key member of Team CoSTAR. His most cited paper (2024, 7 citations) extends the NeBula autonomy solution, detailing hardware, software, and algorithmic improvements for scaling robot teams in complex subterranean settings. Stonebraker also developed a game-inspired supervisory control interface (2022, 2 citations) that enables human operators to effectively copilot autonomous multi-robot missions—a critical innovation for real-world deployment where full autonomy remains challenging. His work bridges the gap between cutting-edge autonomy research and practical field deployment, addressing the cognitive and operational challenges of managing multiple robots in GPS-denied, communication-limited environments. Stonebraker’s research is instrumental in pushing the boundaries of collaborative robotics for search-and-rescue, exploration, and defense applications, demonstrating how human-robot teaming can overcome the limitations of fully autonomous systems in high-stakes scenarios.
Research Focus
Key Achievements
Top Papers
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- 2