This $377,674 National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) project grant, awarded on June 15, 2025, aims to enhance adaptability in multimodal human-robot interaction. The primary goals are to: 1) develop advanced algorithms to understand human intentions using multimodal data like verbal messages, gestures, eye gaze, and head movements; 2) create new learning and planning methods to help robots align their actions with human intentions; and 3) design adaptive learning techniques to enable robots to adapt to changes in human behavior over long-term interactions. The project, led by the University of Virginia, will validate the proposed system through comprehensive human-robot interaction studies. The research aims to advance the field of human-robot interaction by enabling more effective and adaptable long-term interactions, thereby improving public acceptance of robots in various settings.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $377.7k | 6/10/25 |