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DAIM-HRI: A new Human-Robot Integration Technology for Industries

Muhammad Umar Farooq, Geon Kang, Jiwon Seo, Jungchan Bae, Seoyeon Kang, Young Jae Jang

Year
2024
Citations
2

Abstract

Robots have become a crucial part of the automation landscape of Industry 4.0, where human-robot interaction plays a pivotal role in task completion on the shop floor. Despite their significance, the integration of robots in small and medium enterprises (SMEs) is hindered by exorbitant costs and technical requirements. New human-robot integration (HRI) technologies can facilitate robot integration and enable non-technical staff at SMEs to control and collaborate with the robots. This work introduces a DAIM-HRI system that leverages a Large Language Model (LLM) and Robot Operating System (ROS) to enable natural language command-based robot control. It is designed to allow non-technical users to operate the robots in their language without any pre-training. By bridging the gap between humans and robots, this technology provides prospects for enhanced collaboration between shop floor workers and robots ultimately improving the efficiency of the manufacturing process.

Keywords

RobotHuman–robot interactionComputer scienceHuman–computer interactionArtificial intelligence

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