Stanford Intelligent Systems Laboratory
| 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.
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.