Autonomous systems require the ability to analyze their environment and develop responsive plans of action. Autonomous vehicle research has led to the development of several land, sea, and air vehicle prototypes. These systems integrate vision, diagnostics, planning, situation assessment, tactical reasoning, and intelligent control at a variety of levels to function in limited environments or computer simulation. Route planning in these systems has historically focused on pure numerical computations unable to adapt to the dynamic nature of the world. This paper describes a knowledge-based system for autonomous route planning that has been applied to airborne vehicles. Specific focus is the vehicle model knowledge source that validates routes based upon the physical capabilities of the helicopter system. An overview of the autonomous helicopter is present to establish system context with specific results in validated route planning presented.
Control System Validation In The Autonomous Helicopter
Applications of Artificial Intelligence VII ; 1989 ; Orlando,FL,United States
Proc. SPIE ; 1095 ; 1090
1989-03-21
Conference paper
Electronic Resource
English
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