Autonomous collaborative behaviors for multi-UAV missions

Y.-L. Chen; M. Peot; J. Lee; V. Sundareswaran; T. Altshuler

doi:10.1117/12.673116

2 May 2006 Autonomous collaborative behaviors for multi-UAV missions

Y.-L. Chen, M. Peot, J. Lee, V. Sundareswaran, T. Altshuler

Proceedings Volume 6249, Defense Transformation and Network-Centric Systems; 62490L (2006) https://doi.org/10.1117/12.673116
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

UAVs are critical to the U. S. Army's Force Transformation. Large numbers of UAVs will be employed per Future Combat System (FCS) Unit of Action (UoA). To relieve the burden of controlling and coordinating multiple UAVs in a given UoA, UAVs must operate autonomously and collaboratively while engaging in RSTA and other missions. Rockwell Scientific is developing Autonomous Collaborative Mission Systems (ACMS), an extensible architecture and behavior planning/collaboration approach, to enable groups of UAVs to operate autonomously in a collaborative environment. The architecture is modular, and the modules may be run in different locations/platforms to accommodate the constraints of available hardware, processing resources and mission needs. The modules and uniform interfaces provide a consistent and platform-independent baseline mission collaboration mechanism and signaling protocol across different platforms. Further, the modular design allows for the flexible and convenient extension to new autonomous collaborative behaviors to the ACMS. In this article, we first discuss our observations in implementing autonomous collaborative behaviors in general and under ACMS. Second, we present the results of our implementation of two such behaviors in the ACMS as examples.

Citation Download Citation

Y.-L. Chen, M. Peot, J. Lee, V. Sundareswaran, and T. Altshuler "Autonomous collaborative behaviors for multi-UAV missions", Proc. SPIE 6249, Defense Transformation and Network-Centric Systems, 62490L (2 May 2006); https://doi.org/10.1117/12.673116

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