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Professor Kevin Leahy Awarded Office of Naval Research Young Investigator Award for $707K

Professor Kevin Leahy from the Department of Robotics Engineering has earned the Office of Naval Research (ONR) 2025 Young Investigator Program (YIP) Award for $707,951 over the next three years. His project, “Graph Learning for Distributed Situational Awareness with Limited Communication and Localization,” supports the Cooperative Autonomous Swarm Technology (CAST) initiative under ONR’s Sea Warfare and Weapons portfolio (Code 33), under the guidance of Program Officer Christine Buzzell.  Professor Leahy’s work combines graph neural networks (GNNs) with marine robotics to solve a critical challenge: coordinating teams of autonomous underwater (UUV) and surface vehicles (USV) in environments where communication and localization are deeply constrained. His team aims to determine the minimum information exchange necessary, when it’s essential, and how it affects coordinated behavior.   “Underwater environments demand a rethink of traditional swarm robotics,” explains Professor Leahy. “Cameras and GPS are unreliable submerged—acoustic sensing dominates, and communication bandwidth is extremely limited.” His approach equips robots with the ability to infer missing information, enabling effective collaboration even with sparse communication.  This year’s award is especially significant, as it marks Professor Leahy’s final year of eligibility for ONR’s early-career funding. After earning his Ph.D. in 2017, he became ineligible for many other DoD programs—yet recognized this opportunity to secure essential support for hardware-driven research.  The CAST program seeks to advance cooperative autonomy in marine environments, where conventional swarm technologies struggle. Professor Leahy’s research bridges the gap by adapting strategies from land and aerial robotic systems to underwater applications—closing a vital technological divide.  Under this award, Professor Leahy’s lab— two full-time Ph.D. students and multiple summer research assistants—are deploying multiple UUVs and USVs. These pilot trials focus on real-world sensing, communication, and decentralized control, laying essential groundwork for deeper theory development during colder months.  This summer’s field deployments will establish the robots’ sensing and control capabilities. Over the fall and winter, attention will shift to mathematically grounding emerging theories. The lab plans to return to field tests next summer—now backed by rigorous insights and validated infrastructure.  The potential applications extend beyond defense. Professor Leahy emphasizes the work’s significance for Bayesian search, a strategy used in the recovery of Air France flight 447, and for underwater infrastructure monitoring and marine ecological studies. His tools promise robust, scalable autonomy even when communication is unreliable.  When reflecting on how vital the ONR award has been, Professor Leahy notes that the work could not have been done without the award. Deploying a multi-robot testbed—especially underwater—is costly and complex. “Creating our testbed wouldn’t have been possible without this award,” he says.  Professor Leahy offers this advice to early-career researchers: Talk to multiple program officers. “By talking to many of them, I could target the program that was the best fit for my interests.” His outreach efforts were key to aligning his work with CAST’s mission.

Professor Kevin Leahy from the Department of Robotics Engineering has earned the Office of Naval Research (ONR) 2025 Young Investigator Program (YIP) Award for $707,951 over the next three years. His project, “Graph Learning for Distributed Situational Awareness with Limited Communication and Localization,” supports the Cooperative Autonomous Swarm Technology (CAST) initiative under ONR’s Sea Warfare and Weapons portfolio (Code 33), under the guidance of Program Officer Christine Buzzell. 

Professor Leahy’s work combines graph neural networks (GNNs) with marine robotics to solve a critical challenge: coordinating teams of autonomous underwater (UUV) and surface vehicles (USV) in environments where communication and localization are deeply constrained. His team aims to determine the minimum information exchange necessary, when it’s essential, and how it affects coordinated behavior.  

“Underwater environments demand a rethink of traditional swarm robotics,” explains Professor Leahy. “Cameras and GPS are unreliable submerged—acoustic sensing dominates, and communication bandwidth is extremely limited.” His approach equips robots with the ability to infer missing information, enabling effective collaboration even with sparse communication. 

This year’s award is especially significant, as it marks Professor Leahy’s final year of eligibility for ONR’s early-career funding. After earning his Ph.D. in 2017, he became ineligible for many other DoD programs—yet recognized this opportunity to secure essential support for hardware-driven research. 

The CAST program seeks to advance cooperative autonomy in marine environments, where conventional swarm technologies struggle. Professor Leahy’s research bridges the gap by adapting strategies from land and aerial robotic systems to underwater applications—closing a vital technological divide. 

Under this award, Professor Leahy’s lab— two full-time Ph.D. students and multiple summer research assistants—are deploying multiple UUVs and USVs. These pilot trials focus on real-world sensing, communication, and decentralized control, laying essential groundwork for deeper theory development during colder months. 

This summer’s field deployments will establish the robots’ sensing and control capabilities. Over the fall and winter, attention will shift to mathematically grounding emerging theories. The lab plans to return to field tests next summer—now backed by rigorous insights and validated infrastructure. 

The potential applications extend beyond defense. Professor Leahy emphasizes the work’s significance for Bayesian search, a strategy used in the recovery of Air France flight 447, and for underwater infrastructure monitoring and marine ecological studies. His tools promise robust, scalable autonomy even when communication is unreliable. 

When reflecting on how vital the ONR award has been, Professor Leahy notes that the work could not have been done without the award. Deploying a multi-robot testbed—especially underwater—is costly and complex. “Creating our testbed wouldn’t have been possible without this award,” he says. 

Professor Leahy offers this advice to early-career researchers: Talk to multiple program officers. “By talking to many of them, I could target the program that was the best fit for my interests.” His outreach efforts were key to aligning his work with CAST’s mission.

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