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Robotics 2019, 8(2), 24; https://doi.org/10.3390/robotics8020024

Laban-Inspired Task-Constrained Variable Motion Generation on Expressive Aerial Robots

1
Mechanical Science and Engineering Department, University of Illinois at Urbana-Champaign, Champaign, IL 61801, USA
2
Independent Dance Artist/Professional, Palmyra, VA 22963, USA
3
Laban/Bartenieff Institute of Movement Studies, New York, NY 10018, USA
4
McGuffey Art Center, Charlottesville, VA 22902, USA
*
Author to whom correspondence should be addressed.
Received: 13 December 2018 / Revised: 12 March 2019 / Accepted: 18 March 2019 / Published: 27 March 2019
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Abstract

This paper presents a method for creating expressive aerial robots through an algorithmic procedure for creating variable motion under given task constraints. This work is informed by the close study of the Laban/Bartenieff movement system, and movement observation from this discipline will provide important analysis of the method, offering descriptive words and fitting contexts—a choreographic frame—for the motion styles produced. User studies that use utilize this qualitative analysis then validate that the method can be used to generate appropriate motion in in-home contexts. The accuracy of an individual descriptive word for the developed motion is up to 77% and context accuracy is up to 83%. A capacity for state discernment from motion profile is essential in the context of projects working toward developing in-home robots. View Full-Text
Keywords: motion planning; Laban movement analysis; expressive robots motion planning; Laban movement analysis; expressive robots
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Cui, H.; Maguire, C.; LaViers, A. Laban-Inspired Task-Constrained Variable Motion Generation on Expressive Aerial Robots. Robotics 2019, 8, 24.

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