29th Annual IEEE/NASA Software Engineering Workshop (2005)
Apr. 6, 2005 to Apr. 7, 2005
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SEW.2005.45
C.A. Rouff , SAIC Advanced Concepts Business Unit McLean, VA
NASA is investigating the use of swarms of robotic vehicles for future space exploration missions. Such swarms offer many advantages of traditional, single spacecraft, missions. Intelligent swarms offer potential for self-management and survivability, and their emergent properties make such swarms potentially very powerful. However, they are significantly more difficult to design, and ensuring that proper behaviors will emerge is a complex task. NASA's FAST project is investigating the use of formal approaches to the specification and verification of such systems. Using ANTS, a NASA concept mission, as a case study, multiple formal methods were evaluated to determine their effectiveness in modeling and ensuring desired swarm behavior. We discuss this evaluation and propose a hybrid formal method for use in the development of future NASA intelligent swarms
NASA, Space technology, Space vehicles, Particle swarm optimization, Space exploration, Space missions, Unmanned aerial vehicles, Mars, Belts, Insects
C. Rouff, M. Hinchey, J. Rash and W. Truszkowski, "Towards a Hybrid Formal Method for Swarm-Based Exploration Missions," 29th Annual IEEE/NASA Software Engineering Workshop(SEW), Greenbelt, Maryland, 2008, pp. 253-264.