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Directly or on detours?: how should industrial robots approximate humans?

Published: 03 March 2013 Publication History

Abstract

Growing interest in industrial human-robot interaction (HRI) applications makes it necessary to look deeper into the design of systems, where humans collaborate, interact, or at least coexist with industrial robots. This study investigates the influence of the trajectory of an industrial robot's Tool Center Point (TCP) on user well-being as well as human performance in the cooperative scenario HRI. Therefore, a study with a total of 19 participants was conducted. The subjects had to perform several tasks (visually interacting with the robot and performing an audio n-back task), while the robot made different motions in their vicinity. Results show that variable, i.e. non predictable, robot motions lead to reduced human well-being and performance. Consequently, non-predictable motions are not suited for use in HRI. Well-being and performance can be enhanced if the robot moves directly on a straight line from start to finish.

References

[1]
J. Goetz, S. Kiesler, and A. Powers, "Matching Robot appearance and Behavior to Tasks to improve Human-Robot Cooperation," IEEE International Workshop on Robot and Human interactive Communication, 2003, pp. 55--60.
[2]
R. Kato, M. Fujita, and T. Arai, "Development of Advanced Cellular Manufacturing System with Human-Robot Collaboration. Assessment of Mental Strain on Human Operators Induced by the Assembly Support," IEEE International Symposium on Robot and Human Interactive Communication, 2010, pp. 355--360.
[3]
S. Shibata and H. Inooka, "Psychological evaluations of robot motions," in International Journal of Industrial Ergonomics, vol. 21, 1999, pp. 483--494.
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R. Ikeura, Y. Kawakita, M. Ito, and K. Mizutani, "Previous Notice Method of Three Dimensional Robotic Arm Motion for Suppressing Threats to Humans," in Proceedings of the IEEE International Workshop on Robot and Human Interactive Communication, 2003, pp. 353--357.
[5]
S. Thiemermann, "Direkte Mensch-Roboter-Kooperation in der Kleinteilemontage mit einem SCARA-Roboter," Heimsheim, Jost-Jetter, 2005. (German).
[6]
Kato, R., Fujita, M., & Arai, T. (2010). Development of Advanced Cellular Manufacturing System with Human-Robot Collaboration: Assessment of Mental Strain on Human Operators Induced by the Assembly Support. In 19th IEEE International Symposium on Robot and Human Interactive Communication. Principe di Piemonte, Viareggio, Italy, Sept. 12--15, 2010 (pp. 355--360). {Piscataway, N.J.}: IEEE.
[7]
Bortot, D., Hawe, B., Schmidt, S., & Bengler, K. (2013). Industrial Robots - The new friends of an aging workforce? In S. TrzcieliDski & W. Karwowski (Eds.), Advances in ergonomics in manufacturing (pp. 253--262). Boca Raton, FL: CRC Press; Taylor & Francis.
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Cited By

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  • (2014)How to transfer information between collaborating human operators and industrial robots in an assemblyProceedings of the 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational10.1145/2639189.2639243(286-294)Online publication date: 26-Oct-2014

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    Published In

    cover image ACM Conferences
    HRI '13: Proceedings of the 8th ACM/IEEE international conference on Human-robot interaction
    March 2013
    452 pages
    ISBN:9781467330558

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    • AAAI: American Association for Artificial Intelligence
    • Human Factors & Ergonomics Soc: Human Factors & Ergonomics Soc

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    IEEE Press

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    Published: 03 March 2013

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    Author Tags

    1. efficiency
    2. ergonomic trajectory planning
    3. human well-being
    4. human-robot interaction
    5. predictability

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    • (2014)How to transfer information between collaborating human operators and industrial robots in an assemblyProceedings of the 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational10.1145/2639189.2639243(286-294)Online publication date: 26-Oct-2014

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