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arXiv · 2503.02454

UAV-VLPA*: A Vision-Language-Path-Action System for Optimal Route Generation on a Large Scales

Oleg Sautenkov·Aibek Akhmetkazy·Yasheerah Yaqoot·Muhammad Ahsan Mustafa·Grik Tadevosyan·Artem Lykov·Dzmitry Tsetserukou
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Abstract

The UAV-VLPA* (Visual-Language-Planning-and-Action) system represents a cutting-edge advancement in aerial robotics, designed to enhance communication and operational efficiency for unmanned aerial vehicles (UAVs). By integrating advanced planning capabilities, the system addresses the Traveling Salesman Problem (TSP) to optimize flight paths, reducing the total trajectory length by 18.5\% compared to traditional methods. Additionally, the incorporation of the A* algorithm enables robust obstacle avoidance, ensuring safe and efficient navigation in complex environments. The system leverages satellite imagery processing combined with the Visual Language Model (VLM) and GPT's natural language processing capabilities, allowing users to generate detailed flight plans through simple text commands. This seamless fusion of visual and linguistic analysis empowers precise decision-making and mission planning, making UAV-VLPA* a transformative tool for modern aerial operations. With its unmatched operational efficiency, navigational safety, and user-friendly functionality, UAV-VLPA* sets a new standard in autonomous aerial robotics, paving the way for future innovations in the field.

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Oleg Sautenkov, Aibek Akhmetkazy, Yasheerah Yaqoot, Muhammad Ahsan Mustafa, Grik Tadevosyan, Artem Lykov, Dzmitry Tsetserukou. 2025-03-04. UAV-VLPA*: A Vision-Language-Path-Action System for Optimal Route Generation on a Large Scales. https://arxiv.org/abs/2503.02454

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