  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.
