This National Science Foundation (NSF) Project Grant award under the Engineering program (CFDA 47.041) provides $300,000 to Arizona State University to research human-robot sensorimotor interactions for urgent and safety-critical tasks. The key objectives are to: 1) model human responses when balancing on a bicycle, 2) develop a game-theoretic robot controller to safely co-adapt with the human rider, 3) understand how performance varies with different task conditions, and 4) examine how humans develop reliance on robot assistance and its effects on riding behavior. This 2-year EAGER (Early-Concept Grants for Exploratory Research) project aims to create a new modeling and learning framework to enable efficient coordination between humans and robots in dynamic, high-risk scenarios, with applications in areas like manufacturing, transportation, and healthcare. The project will promote scientific progress and advance national health by improving the safety and productivity of future human-robot teams, as well as contribute to enhanced human trust in new robotic technologies.
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