Abstract
Intelligent swarms draw their inspiration from biology where many simple entities act independently, but when grouped, they appear to be highly organized. NASA is currently investigating swarm-based technologies for the development of prospective exploration missions to explore regions of space where a single large spacecraft would be impractical. The main emphasis of this research is to develop algorithms and prototyping models for self-managing swarm-based space-exploration systems. This article presents our work on formally modeling self-configuring behavior in such systems. We present a formal model for team formation based on Partially Observable Markov Decision Processes and Discrete Time Markov Chains along with formal models for planning and scheduling.
Original language | English |
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Title of host publication | Proceedings of the 2010 NASA/ESA Conference on Adaptive Hardware and Systems |
Editors | Tughru Arslan, Didier Keymeulen, David Merodio, Khaled Benkrid, Ahmet T. Erdogan, Umeshkumar Patel, Adrian Stoica |
Place of Publication | United States |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 83-90 |
Number of pages | 8 |
ISBN (Electronic) | 9781424458899 |
ISBN (Print) | 9781424458875 |
DOIs | |
Publication status | Published - 2010 |
Externally published | Yes |
Event | 2010 NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2010) - Anaheim, Anaheim, United States Duration: 15 Jun 2010 → 18 Jun 2010 |
Conference
Conference | 2010 NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2010) |
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Abbreviated title | AHS 2010 |
Country/Territory | United States |
City | Anaheim |
Period | 15/06/10 → 18/06/10 |