Collaborative Research: Scalable Privacy Verification and Quantification for Multi-Robot S — NSF Award to Oakland University (MI,
This project will support research that contributes novel methodologies related to privacy protection of multi-robot systems, promoting the progress of science and advancing national health and prosperity. Due to possible active and passive intruders who may gain access to communication channels and observe the system
| Award title | Collaborative Research: Scalable Privacy Verification and Quantification for Multi-Robot S |
|---|---|
| Award ID | 2432098 |
| Awardee | Oakland University |
| City | ROCHESTER |
| State | MI |
| Amount obligated | $334,218 |
| Principal investigator | Jun Chen |
| Program | FRR-Foundationl Rsrch Robotics |
| Start date | 10/01/2025 |
| Abstract | This project will support research that contributes novel methodologies related to privacy protection of multi-robot systems, promoting the progress of science and advancing national health and prosperity. Due to possible active and passive intruders who may gain access to communication channels and observe the system behaviors, private information can be leaked through robot behaviors. However, existing works on privacy analysis of robot behaviors may not scale when the system dimension increas |
| Source | NSF Awards |
$799/mo
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