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Related papers: Large Language Models for Robotics: A Survey

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The potential for Large Language Models (LLMs) to generate new information offers a potential step change for research and innovation. This is challenging to assert as it can be difficult to determine what an LLM has previously seen during…

Computation and Language · Computer Science 2024-05-24 Thomas Greatrix , Roger Whitaker , Liam Turner , Walter Colombo

Simulation powered by Large Language Models (LLMs) has become a promising method for exploring complex human social behaviors. However, the application of LLMs in simulations presents significant challenges, particularly regarding their…

Computers and Society · Computer Science 2025-02-26 Qian Wang , Zhenheng Tang , Bingsheng He

Large language models (LLMs) are the result of a massive experiment in bottom-up, data-driven reverse engineering of language at scale. Despite their utility in a number of downstream NLP tasks, ample research has shown that LLMs are…

Artificial Intelligence · Computer Science 2024-08-05 Walid S. Saba

Planning represents a fundamental capability of intelligent agents, requiring comprehensive environmental understanding, rigorous logical reasoning, and effective sequential decision-making. While Large Language Models (LLMs) have…

Artificial Intelligence · Computer Science 2025-05-27 Pengfei Cao , Tianyi Men , Wencan Liu , Jingwen Zhang , Xuzhao Li , Xixun Lin , Dianbo Sui , Yanan Cao , Kang Liu , Jun Zhao

Optimization algorithms and large language models (LLMs) enhance decision-making in dynamic environments by integrating artificial intelligence with traditional techniques. LLMs, with extensive domain knowledge, facilitate intelligent…

Neural and Evolutionary Computing · Computer Science 2024-05-17 Sen Huang , Kaixiang Yang , Sheng Qi , Rui Wang

This systematic literature review comprehensively examines the application of Large Language Models (LLMs) in forecasting and anomaly detection, highlighting the current state of research, inherent challenges, and prospective future…

Machine Learning · Computer Science 2024-02-19 Jing Su , Chufeng Jiang , Xin Jin , Yuxin Qiao , Tingsong Xiao , Hongda Ma , Rong Wei , Zhi Jing , Jiajun Xu , Junhong Lin

Service robots need common-sense knowledge to help humans in everyday situations as it enables them to understand the context of their actions. However, approaches that use ontologies face a challenge because common-sense knowledge is often…

Robotics · Computer Science 2023-11-16 Felix Ocker , Jörg Deigmöller , Julian Eggert

The integration of Large Language Models (LLMs) into robotics has revolutionized their ability to interpret complex human commands and execute sophisticated tasks. However, such paradigm shift introduces critical security vulnerabilities…

In recent years, the rapid advancement and impressive capabilities of Large Language Models (LLMs) have been evident across various domains. This paper explores the application, implications, and potential of LLMs in building energy…

Systems and Control · Electrical Eng. & Systems 2023-12-20 Liang Zhang , Zhelun Chen

The advent of large language models (LLMs) has gained tremendous attention over the past year. Previous studies have shown the astonishing performance of LLMs not only in other tasks but also in emotion recognition in terms of accuracy,…

Computation and Language · Computer Science 2023-10-24 Liyizhe Peng , Zixing Zhang , Tao Pang , Jing Han , Huan Zhao , Hao Chen , Björn W. Schuller

Recent years have witnessed remarkable progress made in large language models (LLMs). Such advancements, while garnering significant attention, have concurrently elicited various concerns. The potential of these models is undeniably vast;…

Computation and Language · Computer Science 2023-09-27 Tianhao Shen , Renren Jin , Yufei Huang , Chuang Liu , Weilong Dong , Zishan Guo , Xinwei Wu , Yan Liu , Deyi Xiong

In recent years, reinforcement learning and imitation learning have shown great potential for controlling humanoid robots' motion. However, these methods typically create simulation environments and rewards for specific tasks, resulting in…

Robotics · Computer Science 2024-08-01 Jingkai Sun , Qiang Zhang , Yiqun Duan , Xiaoyang Jiang , Chong Cheng , Renjing Xu

Finite state machines (FSMs) are widely used to manage robot behavior logic, particularly in real-world applications that require a high degree of reliability and structure. However, traditional manual FSM design and modification processes…

Robotics · Computer Science 2024-12-10 Xiangyu Robin Gan , Yuxin Ray Song , Nick Walker , Maya Cakmak

Recent developments in foundation models, like Large Language Models (LLMs) and Vision-Language Models (VLMs), trained on extensive data, facilitate flexible application across different tasks and modalities. Their impact spans various…

Lifestyle support through robotics is an increasingly promising field, with expectations for robots to take over or assist with chores like floor cleaning, table setting and clearing, and fetching items. The growth of AI, particularly…

Robotics · Computer Science 2024-10-23 Haru Nakajima , Jun Miura

Large Language Models (LLMs) have drawn widespread attention and research due to their astounding performance in text generation and reasoning tasks. Derivative products, like ChatGPT, have been extensively deployed and highly sought after.…

Software Engineering · Computer Science 2024-12-11 Zibin Zheng , Kaiwen Ning , Qingyuan Zhong , Jiachi Chen , Wenqing Chen , Lianghong Guo , Weicheng Wang , Yanlin Wang

Large Language Models (LLMs) have revolutionized various fields with their exceptional capabilities in understanding, processing, and generating human-like text. This paper investigates the potential of LLMs in advancing Network Intrusion…

Cryptography and Security · Computer Science 2025-07-08 Shuo Yang , Xinran Zheng , Xinchen Zhang , Jinfeng Xu , Jinze Li , Donglin Xie , Weicai Long , Edith C. H. Ngai

Large Language Models (LLMs) are a powerful technology that augment human skill to create new opportunities, akin to the development of steam engines and the internet. However, LLMs come with a high cost. They require significant computing…

Computers and Society · Computer Science 2024-04-16 Vishwas Sathish , Hannah Lin , Aditya K Kamath , Anish Nyayachavadi

This survey paper outlines the key developments in the field of Large Language Models (LLMs), including enhancements to their reasoning skills, adaptability to various tasks, increased computational efficiency, and the ability to make…

Computation and Language · Computer Science 2026-02-12 Asifullah Khan , Muhammad Zaeem Khan , Aleesha Zainab , Saleha Jamshed , Sadia Ahmad , Kaynat Khatib , Faria Bibi , Abdul Rehman
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