| Established | January 2014 |
|---|---|
Field of research | Decision making under uncertainty, Artificial intelligence |
| Director | Mykel J. Kochenderfer |
| Address | 496 Lomita Mall Durand Building, Room 255 Stanford, CA 94305 USA |
| Location | Stanford, CA, USA |
| Nickname | SISL |
Operating agency | Stanford University Aeronautics & Astronautics |
| Website | sisl |
Stanford Intelligent Systems Laboratory (SISL) is a laboratory researching advanced algorithms and analytical methods for the design of robust decision making systems [1] at Stanford University. It operates within the Stanford Department of Aeronautics & Astronautics.
Drone research
SISL has conducted research in autonomous anti-collision technologies for drones. These efforts include developing software to increase drone reaction times when flying in crowded spaces, such as urban areas.[2] Research was done in accordance with NASA's UAS Traffic Management (UTM) project.[3]
Funding
SISL is supported by numerous external sponsors, including the Federal Aviation Administration (FAA), MIT Lincoln Laboratory, National Aeronautics and Space Administration (NASA), National Science Foundation, Bosch, and SAP.[citation needed]
External links
See also
References
- ↑ "SISL – Stanford Intelligent Systems Laboratory". Stanford University, Department of Aeronautics & Astronautics. Retrieved September 1, 2025.
- ↑ Chipman, Ian. "Team develops software to predict and prevent drone collisions". phys.org. Retrieved 2023-01-13.
- ↑ Vanian, Jonathan (10 Dec 2015). "How Stanford Plans to Prevent Drones From Colliding". Fortune.
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