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Article title NEURAL NETWORK MOTIN PLANNER SYNTHESIS THE AUTONOMOUS ROBOTIC COMPLEX BASED ON AIRSHIP OPERATING IN A PRIORI NONFORMILIZED ENVIRONMENT
Authors М.Yu. Sirotenko
Section SECTION III. INTELLECTUAL TECHNOLOGIES OF THE CONTROL
Month, Year 12, 2008 @en
Index UDC 681.511.4
DOI
Abstract This paper presents a novel method of the synthesis of a neural network motion planner for the autonomous aerostatic robotic complex based on airship, operating in a priory non-formalized environment. Features of a proposed approach are an integration of a planning system with a computer vision system and a simultaneous use of both classical planning methods with neural network approach. A neural network planner was developed and trained on a basis of proposed method. Airship motion through the area with obstacles was modeled using a virtual environment. Modeling results approved a validity of a proposed method.

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Keywords motion planning, neural networks, robotics, airships.
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