Abstract
As the demand for collaborative robots increases, the manufacturers have come to use touchpad-typed teaching devices, and human-friendly interfaces have played a significant role in robot teaching. Accordingly, the needs for development of a user-friendly intuitive interface is increasing, and several companies are emerging to develop a user-friendly teaching interface.
In addition, even if there is a teaching pendant that provide an intuitive interface, it is basically difficult to teach a high-difficult task such as peg-hole work, pivot work, flat and curved sanding work requiring precise teaching without professional programming.
In this paper, to provide an easy robot teaching method for these high-level hard tasks, we have developed a wizard that provides a step-by-step process without programming for the sophisticated teaching. By teaching robots with unit tasks in the wizard, one main task can be completed. Each hard task is defined by several detailed teaching steps, and one task is completed by following step-by step instructions by manipulating an external device such as hand-held device. The user performs the robot teaching by using the preparation state, guidance information, and task start and finish buttons provided by the wizard. In the next step, the user-created trajectory is automatically corrected. Finally, the user can check the correction result for the teaching trajectory and execute the entire teaching result. In addition, the usability of the developed wizard was evaluated. The success rate of our wizard is 12% higher than that of conventional wizard for teaching the high-level hard tasks.
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Acknowledgments
This work was supported by the Industrial Strategic Technology Development Program (20009396) funded By the Ministry of Trade, Industry & Energy (MOTIE, Korea).
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Dong, J., Kang, D., Nam, SW. (2023). Development of Interactive Teaching Device for Difficult Teaching of Collaborative Robot. In: Stephanidis, C., Antona, M., Ntoa, S., Salvendy, G. (eds) HCI International 2023 Posters. HCII 2023. Communications in Computer and Information Science, vol 1834. Springer, Cham. https://doi.org/10.1007/978-3-031-35998-9_8
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DOI: https://doi.org/10.1007/978-3-031-35998-9_8
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