Geometric Vulnerabilities in Networked Robotic Systems: Analysis of Affine Transformation- — NSF Award to Georgia Tech Research Co
This award supports research that addresses critical vulnerabilities in remotely controlled robotic systems through a comprehensive study of a particularly sophisticated class of cyber attacks, thereby advancing the national health, promoting the progress of science, advancing prosperity and welfare, and securing the n
| Award title | Geometric Vulnerabilities in Networked Robotic Systems: Analysis of Affine Transformation- |
|---|---|
| Award ID | 2516189 |
| Awardee | Georgia Tech Research Corporation |
| City | ATLANTA |
| State | GA |
| Amount obligated | $691,375 |
| Principal investigator | Jun Ueda |
| Program | FRR-Foundationl Rsrch Robotics |
| Start date | 09/01/2025 |
| Abstract | This award supports research that addresses critical vulnerabilities in remotely controlled robotic systems through a comprehensive study of a particularly sophisticated class of cyber attacks, thereby advancing the national health, promoting the progress of science, advancing prosperity and welfare, and securing the national defense. Modern robotic systems rely heavily on networked communication for coordination and control, creating opportunities for malicious actors to inject false data that |
| Source | NSF Awards |
$799/mo
Try NSFGrants →