This National Science Foundation project grant of $382,479 supports research at the University of Florida from August 2022 to July 2025 under the Computer and Information Science and Engineering program (CFDA 47.070). The research aims to reduce falling risks for workers in robot-assisted retail environments through three main thrusts. First, the project will identify and evaluate risks from mobile robot operations under different conditions. Second, the researchers will develop a new function for retail robots to map indoor surfaces and generate a real-time "walkability map" informing pedestrians of potential slipping or tripping hazards. Third, the team will investigate the effects of robots and maps on workers' physical risk exposure, cognitive workload, and psychological impacts in actual retail sites. If successful, the falling prevention function could also improve technology acceptance among professional workers and lower adoption barriers. Broader impacts include educational modules and training for workers, students from underrepresented groups, and K-12 activities.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $382.5k | 7/27/22 |