2 citations · 3 across the 13 of their papers we have counts for
5 papers · 1 filter
UAV-CodeAgents: Scalable UAV Mission Planning via Multi-Agent ReAct and Vision-Language Reasoning
Oleg Sautenkov, Yasheerah Yaqoot, Muhammad Ahsan Mustafa +5
We present UAV-CodeAgents, a scalable multi-agent framework for autonomous UAV mission generation, built on large language and vision-language models (LLMs/VLMs). The system levera…
NMPC-Lander: Nonlinear MPC with Barrier Function for UAV Landing on a Mobile Platform
Amber Batool, Faryal Batool, Roohan Ahmed Khan +3
Quadcopters are versatile aerial robots gaining popularity in numerous critical applications. However, their operational effectiveness is constrained by limited battery life and re…
UAV-VLRR: Vision-Language Informed NMPC for Rapid Response in UAV Search and Rescue
Yasheerah Yaqoot, Muhammad Ahsan Mustafa, Oleg Sautenkov +3
Emergency search and rescue (SAR) operations often require rapid and precise target identification in complex environments where traditional manual drone control is inefficient. In…
UAV-VLPA*: A Vision-Language-Path-Action System for Optimal Route Generation on a Large Scales
Oleg Sautenkov, Aibek Akhmetkazy, Yasheerah Yaqoot +4
The UAV-VLPA* (Visual-Language-Planning-and-Action) system represents a cutting-edge advancement in aerial robotics, designed to enhance communication and operational efficiency fo…
UAV-VLA: Vision-Language-Action System for Large Scale Aerial Mission Generation
Oleg Sautenkov, Yasheerah Yaqoot, Artem Lykov +7
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…