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arXiv · 2501.05014

UAV-VLA: Vision-Language-Action System for Large Scale Aerial Mission Generation

Oleg Sautenkov·Yasheerah Yaqoot·Artem Lykov·Muhammad Ahsan Mustafa·Grik Tadevosyan·Aibek Akhmetkazy·Miguel Altamirano Cabrera·Mikhail Martynov·Sausar Karaf·Dzmitry Tsetserukou
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Abstract

The UAV-VLA (Visual-Language-Action) system is a tool designed to facilitate communication with aerial robots. By integrating satellite imagery processing with the Visual Language Model (VLM) and the powerful capabilities of GPT, UAV-VLA enables users to generate general flight paths-and-action plans through simple text requests. This system leverages the rich contextual information provided by satellite images, allowing for enhanced decision-making and mission planning. The combination of visual analysis by VLM and natural language processing by GPT can provide the user with the path-and-action set, making aerial operations more efficient and accessible. The newly developed method showed the difference in the length of the created trajectory in 22% and the mean error in finding the objects of interest on a map in 34.22 m by Euclidean distance in the K-Nearest Neighbors (KNN) approach.

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Oleg Sautenkov, Yasheerah Yaqoot, Artem Lykov, Muhammad Ahsan Mustafa, Grik Tadevosyan, Aibek Akhmetkazy, Miguel Altamirano Cabrera, Mikhail Martynov, Sausar Karaf, Dzmitry Tsetserukou. 2025-01-09. UAV-VLA: Vision-Language-Action System for Large Scale Aerial Mission Generation. https://arxiv.org/abs/2501.05014

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