GENERATION AND ANALYSIS OF "BREATHING" AS AN HRI BEHAVIOR ON A COBOT

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2022-8-31

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Güneşdoğdu, Ali Nuri

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Collaborative robots, a.k.a cobots, are industrial robotic manipulators that have no built-in capabilities for social human-robot interaction (HRI). In the thesis, we implemented breathing for a cobot as a social behavior inspired by the secondary action animation principle. We automatically generated breathing of a cobot as HRI behavior with its waveform borrowed from human breathing; its amplitude and frequency are parametrized. We conducted a user study to measure the effect of parameters of breathing behavior on a collaborative task. During the study, we collected the task completion time to evaluate the task performance and velocities and accelerations of the hand of subjects to evaluate the task quality. We measured HRI quality using the Godspeed questionnaire. The analysis showed that a frequency similar to a human’s breathing positively impacts task performance and improves task quality; however, it did not significantly affect HRI quality. Besides, changing the amplitude of the breathing did not affect any metrics.

Subject Keywords

Collaborative robot, human-robot interaction, secondary action, breathing

URI

https://hdl.handle.net/11511/99501

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Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

A. N. Güneşdoğdu, “GENERATION AND ANALYSIS OF “BREATHING” AS AN HRI BEHAVIOR ON A COBOT,” M.S. - Master of Science, Middle East Technical University, 2022.