This National Science Foundation award provides $676,010 to the University of Southern California through August 2025 to support research and education activities focused on decision-making foundations for human-supervised legged robot teams. Funded under the Computer and Information Science and Engineering program (CFDA 47.070), the award will support the development of methodologies for modeling human-supervised robot team missions and task assignment considering risk and efficiency. It will also fund algorithms for risk-aware motion planning accounting for contingency situations, and multi-objective safety-critical controllers to mitigate risk and ensure stability and safety during locomotion and task execution. Outreach activities will educate K-12 students on robotics career opportunities. This funding advances the NSF's mission to support computing and information science and engineering research and education.
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