Bot-X: An AI-based virtual assistant for intelligent manufacturing

Author:

Li Chen1,Yang Hong Ji2

Affiliation:

1. Department of Materials and Production, Aalborg University, Aalborg 9220, Denmark

2. School of Informatics, Leicester University, Leicester LE1 7RH, UK

Abstract

In light of recent trends toward introducing Artificial Intelligence (AI) to enhance the Human Machine Interface (HMI), companies need to identify the key issues of the communication between operator and production machines. Despite the fact that the industrial company starts to introduce chatbots to assist the communication between humans and machines, the virtual assistant (or digital assistant) by using human natural language is still widely required in the manufacturing domain. In this paper, we introduce an AI-based virtual assistant, Bot-X, for the manufacturing industry to handle a variety of complex services, e.g., order processing, production execution. This work expands the idea in three directions. Firstly, we introduce the design motivation of Bot-X, e.g., knowledge boundary in the manufacturing context. Secondly, the design principle of Bot-X is presented, including the framework, system architecture, model architecture, and the core algorithm. Then, three scenarios are presented to test the Bot-X usability and flexibility regarding the manufacturing environment.

Publisher

IOS Press

Subject

General Computer Science

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A review of digital assistants in production and logistics: applications, benefits, and challenges;International Journal of Production Research;2024-03-21

2. Design of Virtual Assistant and Human Machine Dialogue System Based on Natural Language Processing Algorithms;2024 International Conference on Electrical Drives, Power Electronics & Engineering (EDPEE);2024-02-27

3. An Efficient, Precise and User Friendly AI based Virtual Assistant;2023 International Conference on the Confluence of Advancements in Robotics, Vision and Interdisciplinary Technology Management (IC-RVITM);2023-11-28

4. A speech-enabled virtual assistant for efficient human–robot interaction in industrial environments;Journal of Systems and Software;2023-11

5. Human-technology integration with industrial conversational agents: A conceptual architecture and a taxonomy for manufacturing;Journal of Industrial Information Integration;2023-10

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