This federal Project Grant award of $273,424 from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research to develop advanced, user-friendly assistive artificial intelligence (AI) systems that allow individuals with severe movement disabilities to control robotic devices. The project aims to create a state-of-the-art framework for multimodal, human-centered shared autonomy AI paradigms that empower those with paralysis to control high-degree-of-freedom assistive robotic arms, using noninvasive control methods with low cognitive demands. The research will focus on three main thrusts: 1) optimizing user agency and satisfaction features, 2) developing closed-loop context-aware deep reinforcement learning algorithms to blend user input and robot intelligence, and 3) validating the algorithms by having end-users with paralysis complete complex manipulation tasks. This project, led by the University of Rhode Island, also prioritizes educational and community impact through initiatives like student internships, public demonstrations, and curriculum development. No sub-awards are planned for this grant, which has an award date of June 1, 2025, and an ultimate completion date of May 31, 2030.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $273.4k | 6/4/25 |