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Style-Based Robotic Motion in Contemporary Dance Performance

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Controls and Art

Abstract

This chapter reviews a framework for generating robotic motion and describes its application in a performance at Georgia Institute of Technology. In particular, the movement model stems from the view that cannons of basic warm-up exercises in formalized movement genres, such as classical ballet, seed more complex phrases. This model employs a separation of basic movement ordering and execution. Basic movements are sequenced, and their individual execution modulated via a notion of quality from dance theory. The sequencing framework is then employed in performance both on a humanoid robot and real dancers. Results from a human study, questionnaires given to audience members after the show, are also presented. The generation framework also lends itself to movement interpretation and that extension will be briefly presented as well.

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Notes

  1. 1.

    The dissertation [22] also provides an implementation of these solutions to extract the quality from real motion capture data.

  2. 2.

    Sections 9.4.1, 9.4.2, and 9.4.3 previously appeared in [20, 21].

  3. 3.

    A relaxed version of this may take into account that the angles corresponding to the states in the automaton are, in practice, approximate. In this case we may think of these paths as “tubes.”

  4. 4.

    Literal translation from French: “step of the cat.”

  5. 5.

    Audience members were given an experiential tutorial in automata via a printed automaton that instructed them on how to fold their programs

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Acknowledgments

This work was supported by the US National Science Foundation through grant number 0757317. The performance of “Automaton” was funded by a generous grant from GA Tech’s School of Electrical and Computer Engineering.

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Authors and Affiliations

  1. Systems and Information Engineering Department, University of Virginia, Charlottesville, VA, 22904, USA

    Amy LaViers

  2. Dance and Movement Studies Program, Emory University, Atlanta, GA, 30322, USA

    Lori Teague

  3. School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA

    Magnus Egerstedt

Authors
  1. Amy LaViers
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  2. Lori Teague
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  3. Magnus Egerstedt
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Corresponding author

Correspondence to Amy LaViers .

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Editors and Affiliations

  1. Systems and Information Engineering Department, University of Virginia, Charlottesville, Virginia, USA

    Amy LaViers

  2. School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA

    Magnus Egerstedt

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LaViers, A., Teague, L., Egerstedt, M. (2014). Style-Based Robotic Motion in Contemporary Dance Performance. In: LaViers, A., Egerstedt, M. (eds) Controls and Art. Springer, Cham. https://doi.org/10.1007/978-3-319-03904-6_9

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  • DOI: https://doi.org/10.1007/978-3-319-03904-6_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03903-9

  • Online ISBN: 978-3-319-03904-6

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