Human Robot Collaboration in Industrial Applications

Abstract

Nowadays, in many modern factories, the transport of products and the assembly of parts are carried out by robots. These robots increase production efficiency and save labor and money. However, getting the robotic arms to correctly identify the required parts and transport the products to the right place is still a challenge. To solve this problem, we conducted a user-centered design iteratively. Ideally, the user can specify specific inputs and outputs (i.e., different colors correspond to different exits). And people are also part of the system supervision system so as to give full play to the advantages of humans compared to robots in terms of the subjective initiative. Our system solves real-world classification problems by combining the strengths of machines in repetitive tasks with humans. And use this as an experimental basis to create a questionnaire. We analyzed the questionnaire data and found that our system can better achieve classification through human-robot interaction.