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Open AccessArticle

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

by Hang Cui 1, Catherine Maguire 2,3,4 and Amy LaViers 1,*
Mechanical Science and Engineering Department, University of Illinois at Urbana-Champaign, Champaign, IL 61801, USA
Independent Dance Artist/Professional, Palmyra, VA 22963, USA
Laban/Bartenieff Institute of Movement Studies, New York, NY 10018, USA
McGuffey Art Center, Charlottesville, VA 22902, USA
Author to whom correspondence should be addressed.
Robotics 2019, 8(2), 24;
Received: 13 December 2018 / Revised: 12 March 2019 / Accepted: 18 March 2019 / Published: 27 March 2019
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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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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