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The intersection of LLMs (Large Language Models) and UAV (Unoccupied Aerial Vehicles) technology represents a promising field of research with the potential to enhance UAV capabilities significantly. This study explores the application of…

机器人学 · 计算机科学 2024-10-24 Abhishek Phadke , Alihan Hadimlioglu , Tianxing Chu , Chandra N Sekharan

Uncrewed Aerial Vehicles (UAVs) are widely deployed across diverse applications due to their mobility and agility. Recent advances in Large Language Models (LLMs) offer a transformative opportunity to enhance UAV intelligence beyond…

机器人学 · 计算机科学 2026-03-03 Yousef Emami , Hao Zhou , Radha Reddy , Atefeh Hajijamali Arani , Biliang Wang , Kai Li , Luis Almeida , Zhu Han

Unmanned Aerial Vehicles (UAVs) have emerged as a transformative technology across diverse sectors, offering adaptable solutions to complex challenges in both military and civilian domains. Their expanding capabilities present a platform…

人工智能 · 计算机科学 2024-05-06 Shumaila Javaid , Nasir Saeed , Bin He

Recent breakthroughs in multimodal large language models (MLLMs) have endowed AI systems with unified perception, reasoning and natural-language interaction across text, image and video streams. Meanwhile, Unmanned Aerial Vehicle (UAV)…

Low-altitude mobility, exemplified by unmanned aerial vehicles (UAVs), has introduced transformative advancements across various domains, like transportation, logistics, and agriculture. Leveraging flexible perspectives and rapid…

The growing complexity of power systems has made accurate load forecasting more important than ever. An increasing number of advanced load forecasting methods have been developed. However, the static design of current methods offers no…

机器学习 · 计算机科学 2025-05-23 Yu Zuo , Dalin Qin , Yi Wang

The emergence of large language models (LLMs) opens new frontiers for unmanned aerial vehicle (UAVs), yet existing systems remain confined to predefined tasks due to hardware-software co-design challenges. This paper presents the first…

机器人学 · 计算机科学 2025-03-12 Ji Zhao , Xiao Lin

In the trending research of fusing Large Language Models (LLMs) and robotics, we aim to pave the way for innovative development of AI systems that can enable Autonomous Underwater Vehicles (AUVs) to seamlessly interact with humans in an…

机器人学 · 计算机科学 2023-09-29 Ruochu Yang , Mengxue Hou , Junkai Wang , Fumin Zhang

With the recent development of natural language generation models - termed as large language models (LLMs) - a potential use case has opened up to improve the way that humans interact with robot assistants. These LLMs should be able to…

多智能体系统 · 计算机科学 2024-11-27 Mitchell Rosser , Marc. G Carmichael

Recent advances in large language models (LLMs) have sparked growing interest in building fully autonomous agents. However, fully autonomous LLM-based agents still face significant challenges, including limited reliability due to…

The rapid advancement of Large Language Models (LLMs) has marked a significant breakthrough in Artificial Intelligence (AI), ushering in a new era of Human-centered Artificial Intelligence (HAI). HAI aims to better serve human welfare and…

机器人学 · 计算机科学 2025-10-29 Wenbin Ding , Jun Chen , Mingjia Chen , Fei Xie , Qi Mao , Philip Dames

Unmanned aerial vehicles (UAVs) have been widely adopted in various real-world applications. However, the control and optimization of multi-UAV systems remain a significant challenge, particularly in dynamic and constrained environments.…

机器学习 · 计算机科学 2025-06-10 Zijiang Yan , Hao Zhou , Jianhua Pei , Hina Tabassum

We propose LEO-RobotAgent, a general-purpose language-driven intelligent agent framework for robots. Under this framework, LLMs can operate different types of robots to complete unpredictable complex tasks across various scenarios. This…

机器人学 · 计算机科学 2026-04-16 Lihuang Chen , Xiangyu Luo , Jun Meng

Autonomous Vehicles (AVs) have entered the commercialization stage, but their limited ability to interact and express intentions still poses challenges in interactions with Human-driven Vehicles (HVs). Recent advances in large language…

机器人学 · 计算机科学 2025-03-04 Shiyu Fang , Jiaqi Liu , Chengkai Xu , Chen Lv , Peng Hang , Jian Sun

Large language models (LLMs), due to their advanced natural language capabilities, have seen significant success in applications where the user interface is usually a conversational artificial intelligence (AI) agent and engages the user…

计算与语言 · 计算机科学 2025-03-10 Fei Wei , Yaliang Li , Bolin Ding

Recent advances in large Language Models (LLMs) have revolutionized mobile robots, including unmanned aerial vehicles (UAVs), enabling their intelligent operation within Internet of Things (IoT) ecosystems. However, LLMs still face…

机器人学 · 计算机科学 2026-01-01 Wenhao Wang , Yanyan Li , Long Jiao , Jiawei Yuan

Large Language Models (LLMs) have become foundational to modern AI agent systems, enabling autonomous agents to reason and plan. In most existing systems, inter-agent communication relies primarily on natural language. While this design…

人工智能 · 计算机科学 2025-06-04 Pengcheng Zhou , Yinglun Feng , Halimulati Julaiti , Zhongliang Yang

With the rapid advancement of Large Language Models (LLMs), their capabilities in various automation domains, particularly Unmanned Aerial Vehicle (UAV) operations, have garnered increasing attention. Current research remains predominantly…

机器人学 · 计算机科学 2025-10-28 Liangqi Yuan , Chuhao Deng , Dong-Jun Han , Inseok Hwang , Sabine Brunswicker , Christopher G. Brinton

In recent years, unmanned aerial vehicles (UAVs) have become increasingly popular in our daily lives and have attracted significant research interest in software engineering. At the same time, large language models (LLMs) have made notable…

软件工程 · 计算机科学 2025-12-15 Yihua Chen , Xingle Que , Jiashuo Zhang , Jiachi Chen , Ting Cui , Guangshun Li , Ting Chen

Conversational agents built on large language models (LLMs) are becoming increasingly prevalent, yet most systems are designed for one-on-one, turn-based exchanges rather than natural, asynchronous group chats. As AI assistants become…

计算与语言 · 计算机科学 2025-11-24 Mateusz Jacniacki , Martí Carmona Serrat
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