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Recent trends are emerging in the use of Large Language Models (LLMs) as autonomous agents that take actions based on the content of the user text prompts. We intend to apply these concepts to the field of Control in space, enabling LLMs to…

Artificial Intelligence · Computer Science 2025-07-16 Alejandro Carrasco , Victor Rodriguez-Fernandez , Richard Linares

Large Language Models (LLMs) have emerged as a transformative power in enhancing natural language comprehension, representing a significant stride toward artificial general intelligence. The application of LLMs extends beyond conventional…

Vision-Language Navigation (VLN) enables agents to navigate in complex environments by following natural language instructions grounded in visual observations. Although most existing work has focused on ground-based robots or outdoor…

Robotics · Computer Science 2025-12-23 Xu Liu , Yu Liu , Hanshuo Qiu , Yang Qirong , Zhouhui Lian

User simulation has long played a vital role in computer science due to its potential to support a wide range of applications. Language, as the primary medium of human communication, forms the foundation of social interaction and behavior.…

This work examines the integration of large language models (LLMs) into multi-agent simulations by replacing the hard-coded programs of agents with LLM-driven prompts. The proposed approach is showcased in the context of two examples of…

Multiagent Systems · Computer Science 2025-03-07 Cristian Jimenez-Romero , Alper Yegenoglu , Christian Blum

In this work, a thorough mathematical framework for incorporating Large Language Models (LLMs) into gamified systems is presented with an emphasis on improving task dynamics, user engagement, and reward systems. Personalized feedback,…

Artificial Intelligence · Computer Science 2025-03-17 Carlos J. Costa

Autonomous agents have long been a prominent research focus in both academic and industry communities. Previous research in this field often focuses on training agents with limited knowledge within isolated environments, which diverges…

Artificial Intelligence · Computer Science 2025-03-04 Lei Wang , Chen Ma , Xueyang Feng , Zeyu Zhang , Hao Yang , Jingsen Zhang , Zhiyuan Chen , Jiakai Tang , Xu Chen , Yankai Lin , Wayne Xin Zhao , Zhewei Wei , Ji-Rong Wen

Large Language Models (LLMs) have recently demonstrated remarkable capabilities in natural language processing tasks and beyond. This success of LLMs has led to a large influx of research contributions in this direction. These works…

Computation and Language · Computer Science 2024-10-18 Humza Naveed , Asad Ullah Khan , Shi Qiu , Muhammad Saqib , Saeed Anwar , Muhammad Usman , Naveed Akhtar , Nick Barnes , Ajmal Mian

Robot swarms are composed of many simple robots that communicate and collaborate to fulfill complex tasks. Robot controllers usually need to be specified by experts on a case-by-case basis via programming code. This process is…

Robotics · Computer Science 2024-10-31 Volker Strobel , Marco Dorigo , Mario Fritz

This paper explores the potential of large language models (LLMs) for task automation in the provision of technical services in the production machinery sector. By focusing on text correction, summarization, and question answering, the…

General Economics · Economics 2025-05-19 Jochen Wulf , Juerg Meierhofer

The rapid evolution of communication networks in recent decades has intensified the need for advanced Network and Service Management (NSM) strategies to address the growing demands for efficiency, scalability, enhanced performance, and…

This paper investigates integrating large language models (LLMs) with advanced hardware, focusing on developing a general-purpose device designed for enhanced interaction with LLMs. Initially, we analyze the current landscape, where virtual…

Hardware Architecture · Computer Science 2024-08-21 Jiajun Xu , Qun Wang , Yuhang Cao , Baitao Zeng , Sicheng Liu

We demonstrate experimental results with LLMs that address robotics task planning problems. Recently, LLMs have been applied in robotics task planning, particularly using a code generation approach that converts complex high-level…

Robotics · Computer Science 2024-04-09 Yusuke Mikami , Andrew Melnik , Jun Miura , Ville Hautamäki

Utilizing Large Language Models (LLMs) facilitates the creation of flexible and natural dialogues, a task that has been challenging with traditional rule-based dialogue systems. However, LLMs also have the potential to produce unexpected…

Capitalizing on the remarkable advancements in Large Language Models (LLMs), there is a burgeoning initiative to harness LLMs for instruction following robotic navigation. Such a trend underscores the potential of LLMs to generalize…

Computer Vision and Pattern Recognition · Computer Science 2024-09-23 Gengze Zhou , Yicong Hong , Zun Wang , Xin Eric Wang , Qi Wu

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…

Multiagent Systems · Computer Science 2024-11-27 Mitchell Rosser , Marc. G Carmichael

The integration of Large Language Models (LLMs) into medical applications has sparked widespread interest across the healthcare industry, from drug discovery and development to clinical decision support, assisting telemedicine, medical…

Computation and Language · Computer Science 2024-12-03 Zifeng Wang , Hanyin Wang , Benjamin Danek , Ying Li , Christina Mack , Hoifung Poon , Yajuan Wang , Pranav Rajpurkar , Jimeng Sun

The recent progress in unmanned aerial vehicles (UAV) technology has significantly advanced UAV-based applications for military, civil, and commercial domains. Nevertheless, the challenges of establishing high-speed communication links,…

Signal Processing · Electrical Eng. & Systems 2023-04-03 Shumaila Javaid , Nasir Saeed , Zakria Qadir , Hamza Fahim , Bin He , Houbing Song , Muhammad Bilal

To address challenges in the digital economy's landscape of digital intelligence, large language models (LLMs) have been developed. Improvements in computational power and available resources have significantly advanced LLMs, allowing their…

Computation and Language · Computer Science 2024-05-24 Yanxin Zheng , Wensheng Gan , Zefeng Chen , Zhenlian Qi , Qian Liang , Philip S. Yu