Research on UAV Navigation System Based on Behavioral Programming

With the rapid development of UAV technology, its applications in various fields have become increasingly widespread, especially in navigation and path planning in complex environments, which have become key issues. This paper proposes a new UAV navigation system design based on behavioral programming theory, utilizing a modular design approach to achieve flexible path planning and obstacle avoidance. The system design focuses on the control algorithms of behavioral programming, path planning algorithms, and dynamic adjustment and optimization of UAV behavior. Experimental results demonstrate that the system achieves high navigation accuracy and obstacle avoidance capability in complex environments, enhancing the autonomy and safety of the UAV. Finally, the performance of the system is evaluated, and future research directions and optimization suggestions are proposed.

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Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1109/auteee62881.2024.10869757
Primary Topic
Robotic Path Planning Algorithms
Type
article
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article

Research on UAV Navigation System Based on Behavioral Programming

Yue Xu
Robotic Path Planning Algorithms
article

Research on UAV Navigation System Based on Behavioral Programming

Yue Xu
article en

Abstract

With the rapid development of UAV technology, its applications in various fields have become increasingly widespread, especially in navigation and path planning in complex environments, which have become key issues. This paper proposes a new UAV navigation system design based on behavioral programming theory, utilizing a modular design approach to achieve flexible path planning and obstacle avoidance. The system design focuses on the control algorithms of behavioral programming, path planning algorithms, and dynamic adjustment and optimization of UAV behavior. Experimental results demonstrate that the system achieves high navigation accuracy and obstacle avoidance capability in complex environments, enhancing the autonomy and safety of the UAV. Finally, the performance of the system is evaluated, and future research directions and optimization suggestions are proposed.

Salesforce (United States) (US)
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Robotic Path Planning Algorithms
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