This $399,965 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports collaborative research to establish a framework for designing and implementing safe and robust learning-enabled systems. The overarching goal is to yield learning-enabled systems that can operate safely in complex environments while monitoring for anomalous and unsafe behavior. The research will leverage tools from control theory, multi-agent autonomy, and formal methods to develop design principles and techniques for synthesizing model-free and model-based learning approaches to ensure safety. The grant is awarded to Cornell University, a private research university, with an expected completion date of September 30, 2027. The project aims to advance fundamental knowledge that can enable the development of future safe autonomous systems with embodied intelligence.
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