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Conference Paper Approaches to Usability Improvement of Teaching for the Collaborative Robot
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Authors
Myunghwan Byun, Jeyoun Dong
Issue Date
2023-07
Citation
International Conference on Software Services Engineering (SSE) 2023, pp.291-295
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/SSE60056.2023.00046
Abstract
Recently, collaborative robots, known as cobots, gains incredible attraction because of their potential performance to multiple tasks with human workers, assisting useful tasks. Precise and simple control over the teaching pendant is a key issue when manipulating cobots. However, the beginners may more easily get stuck handling cobots with the teaching pendant in clear comparison with the experts. The teaching pendant that control cobots require ease of use as well as intuitive interfaces to modify existing execution programs. Unfortunately, up to now, systematic studies on establishing the standard or guideline for intuitive teaching pendants have not been reported. Furthermore, the usability of the various interfaces and systems available on the market is still poor. In this paper, we offer a more advanced route to teaching pendant of cobots that aims to improve the simplicity and efficiency of teaching for non-experts. Thus, an empirical study was conducted to evaluate the usability of cobots and teaching pendants. 30 participants consisting of beginners, intermediates and advanced participants (F=10, M=20, 34.75±2.50 years) were investigated for this study. In this experiment, Neuromeka's INDY 7 and CONTY, or a teaching pendant, were used. Each study was conducted for 60 minutes, including teaching tasks, interview, questionnaires and system usability scale (SUS). Our observation provides experimental results, commonly faced challenges, and proposed improvements such as simulations, help section, and teaching input method. The paper concludes by discussing future work, and suggested improvements for field workers.
KSP Keywords
And systems, Collaborative robot, Ease of use, Intuitive interfaces, Intuitive teaching, Multiple tasks, Potential performance, System Usability Scale(SUS), empirical study, non-experts