5 papers
Neuro-Symbolic Agentic AI for Networked Low-Altitude UAVs
Yuqi Ping, Tianhao Liang, Nanchi Su +4
Networked low-altitude unmanned aerial vehicles (UAVs) need reliable and adaptive decision-making capabilities to operate under uncertain observations, dynamic environments, and in…
LLM-Enabled Low-Altitude UAV Natural Language Navigation via Signal Temporal Logic Specification Translation and Repair
Yuqi Ping, Huahao Ding, Tianhao Liang +6
Natural language (NL) navigation for low-altitude unmanned aerial vehicles (UAVs) offers an intelligent and convenient solution for low-altitude aerial services by enabling an intu…
Uncertainty-Aware 3D UAV Tracking Using Single-Anchor UWB Measurements
Yuqi Ping, Junwei Wu, Bofeng Zheng +3
In this letter, we present an uncertainty-aware single-anchor Ultra-Wideband (UWB)-based 3D tracking framework. Specifically, a mobile Unmanned Aerial Vehicle (UAV) maintains a des…
Enhancing Low-Altitude Airspace Security: MLLM-Enabled UAV Intent Recognition
Guangyu Lei, Tianhao Liang, Yuqi Ping +9
The rapid development of the low-altitude economy emphasizes the critical need for effective perception and intent recognition of non-cooperative unmanned aerial vehicles (UAVs). T…
Multimodal Large Language Models-Enabled UAV Swarm: Towards Efficient and Intelligent Autonomous Aerial Systems
Yuqi Ping, Tianhao Liang, Huahao Ding +9
Recent breakthroughs in multimodal large language models (MLLMs) have endowed AI systems with unified perception, reasoning and natural-language interaction across text, image and…