This $344,628 National Science Foundation (NSF) Engineering Program (CFDA 47.041) grant award to George Mason University, doing business as Mason, supports the development of a novel framework for coordinating multi-autonomous multi-human agent systems with guaranteed safety. The project aims to address key challenges in this domain, including non-cooperative behaviors due to information asymmetry and heterogeneous human preferences, as well as ensuring coordination safety with uncertain human behaviors. The research integrates game theory, machine learning, human modeling, and network control to enhance model transparency and learnability. The framework will leverage a human-response alignment mechanism to guide autonomous agents in adapting to and subtly influencing human behaviors, improving overall system efficiency and safety. This work has broad applications in areas like traffic coordination, human-robot teaming, and smart infrastructure systems involving both autonomous and human agents. The project also includes educational and workforce development components to engage K-12 students and provide research opportunities for high school and university students. No subawards are planned under this grant.
Generated 10/29/24, 2:31 AM