Many military applications will benefit from the use of unmanned vehicles. However communication realities have limited the effectiveness of the current direct tele-operated vehicles. One solution is to increase the on-board autonomy of the vehicle. While this does reduce the communication requirements, the level of machine intelligence is not sufficient to insure operation in extreme situations. Proposed is a shared control solution that is a synergistic partnership of on-board autonomy and the superior cognitive capabilities of the remote human operator. This paper describes work at the Defence Research and Development Canada - Suffield (DRDC-Suffield) in tele-operated vehicles, autonomous control systems and discusses the issues and benefits of shared control of military vehicles.
Humans Teaching Learning Machines: Apprentice Systems and Shared Control of Military Vehicles
2003
31 pages
Report
Keine Angabe
Englisch
Military Sciences , Computers, Control & Information Theory , Transportation , Human Factors Engineering , Control systems , Military vehicles , Unmanned , Artificial intelligence , Man machine systems , Remote control , Requirements , Symposia , Humans , Cognition , Canada , Learning machines , Self operation , Nato furnished , Component reports , Foreign reports
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