image: Dimitris Pados, Ph.D., principal investigator and director of the CA-AI at FAU.
Credit: Alex Dolce, Florida Atlantic University
As autonomous technologies continue to expand their presence across commercial and defense applications, a critical limitation persists. While today’s machines can operate intelligently on their own, they often fail to collaborate effectively as part of a network. This gap – where systems are individually smart but collectively deficient – poses a significant barrier to carrying out autonomous operations in complex and contested environments.
Overcoming this challenge is essential to unlocking the next generation of autonomous intelligence capable of sensing, learning and acting in coordination.
To address this critical need, the Center for Connected Autonomy and Artificial Intelligence (CA-AI) in the College of Engineering and Computer Science at Florida Atlantic University has been awarded a $2,250,000 grant from the United States Air Force Research Laboratory (AFRL) to develop advanced networks of autonomous systems that can operate collaboratively. The project brings together FAU, the University at Buffalo (UB), and the University of Minnesota, combining strengths in intelligent wireless systems, edge AI technology, swarm networking and large-scale testing environments.
“We’re investigating how connected AI machines and robots can operate together to solve complex problems,” said Dimitris Pados, Ph.D., principal investigator, director of the CA-AI, the Charles E. Schmidt Eminent Scholar in Engineering in the College of Engineering and Computer Science, and a fellow of FAU’s Sensing Institute (I-SENSE). “To realize the vision of AI autonomous systems, we must transition from smart units to intelligent, coordinated collectives.”
At the core of the project is a shift away from reliance on cloud computing toward networked edge-AI, where autonomous systems perform distributed sensing and AI inference directly on board while communicating with one another. These systems are designed to function like coordinated teams, enabling machines to share information, make decisions collectively and respond dynamically to changing conditions.
Pados and the research team are developing machine learning technologies that allow systems to sense the spectral environment and automatically adapt how they communicate, avoiding interference and maintaining strong, secure connections even in highly contested or degraded conditions. By embedding AI directly into wireless communication systems, the team is enabling machines to make real-time decisions about how to transmit data and support distributed intelligence across the network.
The work represents a significant technical advancement, building on new theory, methods and demonstrations, which have been highlighted in Nature Reviews as a breakthrough in the field.
The research is organized around three major areas: the development of secure networked edge-AI algorithms for learning and inference; the implementation of these capabilities directly into hardware systems spanning processors, GPUs and FPGAs from antenna to application; and a comprehensive workforce development effort that trains students from high school through the doctoral level in next-generation AI-driven networking and robotics. Collectively, these efforts aim to accelerate the transition of foundational research into deployable technologies for critical national applications.
“This award reflects the pioneering research taking place within our College of Engineering and Computer Science and reinforces Florida Atlantic University’s role as a leader in next-generation technologies,” said Stella Batalama, Ph.D., dean of the College of Engineering and Computer Science. “The ability for autonomous systems to communicate, learn and adapt collaboratively will redefine the future of intelligent systems and strengthen our nation’s technological leadership and security.”
Over the past several years, the AFRL has invested more than $8 million in joint research efforts between FAU and UB, supporting advances in smart, programmable wireless networking and laying the groundwork for this next phase focused on fully integrated, AI-enabled autonomous systems.
The project will also focus on scaling these technologies into increasingly complex, real-world environments while expanding education and workforce training initiatives. Students at all levels will gain hands-on experience designing, testing and deploying AI-enabled networked systems, helping to build a pipeline of talent equipped to lead in the rapidly evolving fields of autonomous systems and intelligent communications.
CA-AI serves as a hub for this work, bringing together expertise in AI-enabled technologies, machine learning, cognitive radio, secure wireless communications and software-defined radio systems. The center has established itself as a leader in developing autonomous, wireless-networked robotic systems capable of operating in challenging and dynamic communication environments, supported by advanced testbeds and real-world simulation platforms.
- FAU -
About FAU’s College of Engineering and Computer Science:
The FAU College of Engineering and Computer Science is internationally recognized for innovative research and education in the areas of computer science and artificial intelligence (AI), computer engineering, electrical engineering, biomedical engineering, civil, environmental and geomatics engineering, mechanical engineering, and ocean engineering. Research conducted by the faculty and their teams expose students to technology innovations that push the current state-of-the art of the disciplines. The College research efforts are supported by the National Science Foundation (NSF), the National Institutes of Health (NIH), the Department of Defense (DOD), the Department of Transportation (DOT), the Department of Education (DOEd), the State of Florida, and industry. The FAU College of Engineering and Computer Science offers degrees with a modern twist that bear specializations in areas of national priority such as AI, cybersecurity, internet-of-things, transportation and supply chain management, and data science. New degree programs include Master of Science in AI (first in Florida), Master of Science and Bachelor in Data Science and Analytics, and the new Professional Master of Science and Ph.D. in computer science for working professionals. For more information about the College, please visit eng.fau.edu.
About Florida Atlantic University:
Florida Atlantic University serves more than 32,000 undergraduate and graduate students across six campuses along Florida’s Southeast coast. Recognized as one of only 13 institutions nationwide to achieve three Carnegie Foundation designations - R1: Very High Research Spending and Doctorate Production,” “Opportunity College and University,” and Carnegie Community Engagement Classification - FAU stands at the intersection of academic excellence and social mobility. Ranked among the Top 100 Public Universities by U.S. News & World Report, FAU is also nationally recognized as a Top 25 Best-In-Class College and cited by Washington Monthly as “one of the country’s most effective engines of upward mobility.” To learn more, visit www.fau.edu.