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ChatGPT and other state-of-the-art large language models (LLMs) are rapidly transforming multiple fields, offering powerful tools for a wide range of applications. These models, commonly trained on vast datasets, exhibit human-like text…

This paper investigates the capabilities of ChatGPT as an automated assistant in diverse domains, including scientific writing, mathematics, education, programming, and healthcare. We explore the potential of ChatGPT to enhance…

人机交互 · 计算机科学 2023-06-07 Amos Azaria , Rina Azoulay , Shulamit Reches

ChatGPT and Bard are AI chatbots based on Large Language Models (LLM) that are slated to promise different applications in diverse areas. In education, these AI technologies have been tested for applications in assessment and teaching. In…

计算与语言 · 计算机科学 2023-05-11 Abdolvahab Khademi

Large language models (LLMs) have undergone rapid evolution and achieved remarkable results in recent times. OpenAI's ChatGPT, backed by GPT-3.5 or GPT-4, has gained instant popularity due to its strong capability across a wide range of…

密码学与安全 · 计算机科学 2023-12-12 Fangzhou Wu , Qingzhao Zhang , Ati Priya Bajaj , Tiffany Bao , Ning Zhang , Ruoyu "Fish" Wang , Chaowei Xiao

The integration of large language models (LLMs) with social robots has emerged as a promising avenue for enhancing human-robot interactions at a time when news reports generated by artificial intelligence (AI) are gaining in credibility.…

机器人学 · 计算机科学 2023-11-14 Abdelhadi Hireche , Abdelkader Nasreddine Belkacem , Sadia Jamil , Chao Chen

Humans engaged in collaborative activities are naturally able to convey their intentions to teammates through multi-modal communication, which is made up of explicit and implicit cues. Similarly, a more natural form of human-robot…

机器人学 · 计算机科学 2022-07-01 Simone Macciò , Alessandro Carfì , Fulvio Mastrogiovanni

Natural-language dialog is key for intuitive human-robot interaction. It can be used not only to express humans' intents, but also to communicate instructions for improvement if a robot does not understand a command correctly. Of great…

机器人学 · 计算机科学 2024-10-14 Leonard Bärmann , Rainer Kartmann , Fabian Peller-Konrad , Jan Niehues , Alex Waibel , Tamim Asfour

Advances in large language models (LLMs) are profoundly reshaping the field of human-robot interaction (HRI). While prior work has highlighted the technical potential of LLMs, few studies have systematically examined their human-centered…

机器人学 · 计算机科学 2026-02-18 Yufeng Wang , Yuan Xu , Anastasia Nikolova , Yuxuan Wang , Jianyu Wang , Chongyang Wang , Xin Tong

Robots are increasingly deployed in spaces shared with humans, including home settings and industrial environments. In these environments, the interaction between humans and robots (HRI) is crucial for safety, legibility, and efficiency. A…

The integration of large language models (LLMs) with robotics has significantly advanced robots' abilities in perception, cognition, and task planning. The use of natural language interfaces offers a unified approach for expressing the…

机器人学 · 计算机科学 2024-09-27 Wenhao Yu , Jie Peng , Yueliang Ying , Sai Li , Jianmin Ji , Yanyong Zhang

Shared autonomy functions as a flexible framework that empowers robots to operate across a spectrum of autonomy levels, allowing for efficient task execution with minimal human oversight. However, humans might be intimidated by the…

机器人学 · 计算机科学 2025-12-01 Yingke Li , Fumin Zhang

The new industrial settings are characterized by the presence of human and robots that work in close proximity, cooperating in performing the required job. Such a collaboration, however, requires to pay attention to many aspects. Firstly,…

机器人学 · 计算机科学 2024-09-12 Davide Ferrari , Andrea Pupa , Alberto Signoretti , Cristian Secchi

Humanoid robots are designed to be relatable to humans for applications such as customer support and helpdesk services. However, many such systems, including Softbank's Pepper, fall short because they fail to communicate effectively with…

机器人学 · 计算机科学 2024-02-13 Xiaohui Chen , Katherine Luo , Trevor Gee , Mahla Nejati

Trust prediction is a key issue in human-robot collaboration, especially in construction scenarios where maintaining appropriate trust calibration is critical for safety and efficiency. This paper introduces the Performance-guided…

人机交互 · 计算机科学 2025-06-23 Hao Guo , Wei Fan , Shaohui Liu , Feng Jiang , Chunzhi Yi

With the advent of large language models (LLMs), in both the open source and proprietary domains, attention is turning to how to exploit such artificial intelligence (AI) systems in assisting complex scientific tasks, such as material…

人机交互 · 计算机科学 2024-01-26 Yongtao Liu , Marti Checa , Rama K. Vasudevan

Numerous methods have been proposed to detect, estimate, and analyze properties of people in images, including 3D pose, shape, contact, human-object interaction, and emotion. While widely applicable in vision and other areas, such methods…

计算机视觉与模式识别 · 计算机科学 2025-05-30 Jing Lin , Yao Feng , Weiyang Liu , Michael J. Black

The recently released ChatGPT has demonstrated surprising abilities in natural language understanding and natural language generation. Machine translation relies heavily on the abilities of language understanding and generation. Thus, in…

计算与语言 · 计算机科学 2023-04-24 Yuan Gao , Ruili Wang , Feng Hou

This paper presents a comprehensive survey of ChatGPT-related (GPT-3.5 and GPT-4) research, state-of-the-art large language models (LLM) from the GPT series, and their prospective applications across diverse domains. Indeed, key innovations…

This paper presents an innovative large language model (LLM)-based robotic system for enhancing multi-modal human-robot interaction (HRI). Traditional HRI systems relied on complex designs for intent estimation, reasoning, and behavior…

Artificial intelligence is gaining traction in more ways than ever before. The popularity of language models and AI-based businesses has soared since ChatGPT was made available to the general public via OpenAI. It is becoming increasingly…

计算机与社会 · 计算机科学 2023-07-31 Prabin Sharma , Kisan Thapa , Dikshya Thapa , Prastab Dhakal , Mala Deep Upadhaya , Santosh Adhikari , Salik Ram Khanal