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Evolved Navigation Control for Unmanned Aerial Vehicles InTech
Gregory J. Barlow; Choong K. Oh.
Using multi-objective GP, we were able to evolve navigation controllers for UAVs capable of flying to a target radar, circling the radar site, and maintaining an efficient flight path, all while using inaccurate sensors in a noisy environment. Controllers were evolved for five radar types using both direct evolution and incremental evolution: continuously emitting, stationary radars; continuously emitting, mobile radars; intermittently emitting, stationary radars with regular periods; intermittently emitting, stationary radars with irregular periods; and intermittently emitting, mobile radars with regular periods. The use of incremental evolution dramatically increased the chances of producing successful controllers compared to direct evolution....
Tipo: 20 Palavras-chave: Frontiers in Evolutionary Robotics.
Ano: 2008 URL: http://www.intechopen.com/articles/show/title/evolved_navigation_control_for_unmanned_aerial_vehicles
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