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Content Provider | IEEE Xplore Digital Library |
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Author | How, J.P. Bethke, B. Frank, A. Dale, D. Vian, J. |
Copyright Year | 1991 |
Abstract | To investigate and develop unmanned vehicle systems technologies for autonomous multiagent mission platforms, we are using an indoor multivehicle testbed called real-time indoor autonomous vehicle test environment (RAVEN) to study long-duration multivehicle missions in a controlled environment. Normally, demonstrations of multivehicle coordination and control technologies require that multiple human operators simultaneously manage flight hardware, navigation, control, and vehicle tasking. However, RAVEN simplifies all of these issues to allow researchers to focus, if desired, on the algorithms associated with high-level tasks. Alternatively, RAVEN provides a facility for testing low-level control algorithms on both fixed- and rotary-wing aerial platforms. RAVEN is also being used to analyze and implement techniques for embedding the fleet and vehicle health state (for instance, vehicle failures, refueling, and maintenance) into UAV mission planning. These characteristics facilitate the rapid prototyping of new vehicle configurations and algorithms without requiring a redesign of the vehicle hardware. This article describes the main components and architecture of RAVEN and presents recent flight test results illustrating the applications discussed above. |
Starting Page | 51 |
Ending Page | 64 |
Page Count | 14 |
File Size | 2844357 |
File Format | |
ISSN | 1066033X |
Volume Number | 28 |
Issue Number | 2 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2008-04-01 |
Publisher Place | U.S.A. |
Access Restriction | One Nation One Subscription (ONOS) |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Remotely operated vehicles Mobile robots Unmanned aerial vehicles System testing Hardware Real time systems Control systems Humans Technology management Navigation |
Content Type | Text |
Resource Type | Article |
Subject | Control and Systems Engineering Electrical and Electronic Engineering Modeling and Simulation |
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