Increasing autonomy of UAVs

• Main Authors: Roy, Nicholas (Contributor), Bachrach, Abraham Galton (Contributor), Brunet, Luc (Author), Toupet, Olivier (Author), Bertuccelli, Luca F. (Contributor), Kulling, Karl C. (Author), Fraser, Cameron S. (Contributor), How, Jonathan P. (Contributor)
• Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Aeronautics and Astronautics (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
• Format: Article
• Language: English
• Published: Institute of Electrical and Electronics Engineers, 2010-03-02T14:11:09Z.
• Subjects: Article
• Online Access: Get fulltext

 This article has presented a tightly integrated systems architecture for a decentralized CSAT mission management algorithm and demonstrated successful implementation in actual hardware flight tests. This CSAT architecture allows each UAV to accomplish a combined search and track mission by conceptualizing the searching aspect as a spare time strategy to be executed optimally over a short time horizon when the agents are not actively tracking a vehicle. This presented a balance between the two conflicting search and track modes and allowed the mission to achieve more than simply searching or tracking alone.