Human robot collaboration is becoming increasingly important as robots become more involved in various aspects of human life in the era of Artificial Intelligence. However, the issue of human operators trust in robots remains a significant concern, primarily due to the lack of adequate semantic understanding and communication between humans and robots. The emergence of Large Language Models (LLMs), such as ChatGPT, provides an opportunity to develop an interactive, communicative, and robust human-robot collaboration approach. This paper explores the impact of ChatGPT on trust in a human-robot collaboration assembly task. This study designs a robot control system called RoboGPT using ChatGPT to control a 7-degree-of-freedom robot arm to help human operators fetch, and place tools, while human operators can communicate with and control the robot arm using natural language. A human-subject experiment showed that incorporating ChatGPT in robots significantly increased trust in human-robot collaboration, which can be attributed to the robot's ability to communicate more effectively with humans. Furthermore, ChatGPT ability to understand the nuances of human language and respond appropriately helps to build a more natural and intuitive human-robot interaction. The findings of this study have significant implications for the development of human-robot collaboration systems.

翻译：人机协作在人工智能时代日益重要，因为机器人越来越多地参与到人类生活的各个方面。然而，操作者对机器人的信任问题仍是一个重大关切，主要原因在于人与机器人之间缺乏充分的语义理解和交流。大型语言模型（如ChatGPT）的出现，为开发交互式、可沟通且稳健的人机协作方法提供了契机。本文探讨了ChatGPT对人机协作装配任务中信任度的影响。本研究设计了一个名为RoboGPT的机器人控制系统，利用ChatGPT控制一个七自由度机械臂，协助操作者取放工具，同时操作者能通过自然语言与机械臂进行交流和控制。一项受试者实验表明，将ChatGPT集成到机器人中显著增强了人机协作中的信任度，这归因于机器人能与人类更有效沟通的能力。此外，ChatGPT理解人类语言细微差别并做出恰当回应的能力，有助于构建更自然、更直观的人机交互。本研究的发现对开发人机协作系统具有重要意义。