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Abstractions for Design-by-Humans of Heterogeneous Behaviors

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Part of the book series: Springer Tracts in Advanced Robotics ((STAR,volume 111))

Abstract

This paper will discuss the use of movement observation, taxonomy, and expert knowledge, as found in Laban/Bartenieff Movement Studies to facilitate the production of diverse robotic behaviors that are easy to construct for a wide range of people. A ‘behavior’ will be defined by a set of movement primitives that are scaled and sequenced differently for distinct behaviors. These methods will be applied to real robotic platforms, in the context of manufacturing, motivating the fundamental value of high-level abstractions that produce a wide array of behavior. In particular, the integration of methods for designing an alternate set of “knobs” for motion control, abstracting sequencing behaviors and interactions of teams, and controlling robots via a web-based platform will be outlined in a language accessible to an interdisciplinary audience.

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References

  1. R. Arkin, Behavior-Based Robotics (The MIT Press, Cambridge, 1998)

    Google Scholar 

  2. K. Studd, L. Cox, Everybody is a Body (Dog Ear Publishing, Indianapolis, 2013)

    Google Scholar 

  3. V. Maletic, Body, Space, Expression (Walter de Gruyter & Co., Berlin, 1987)

    Google Scholar 

  4. A. Hutchinson, A. Guest, Labanotation, or, Kinetography Laban: The System of Analyzing and Recording Movement (Dance Books, 1996)

    Google Scholar 

  5. I. Bartenieff, D. Lewis, Body Movement: Coping with the Environment (Routledge, 1980)

    Google Scholar 

  6. P. Hackney, Making Connections: Total Body Integration Through Bartenieff Fundamentals (Routledge, 1998)

    Google Scholar 

  7. J. Newlove, J. Dalby, Laban for All (Nick Hern Books, London, 2004)

    Google Scholar 

  8. A. LaViers, M. Egerstedt, The ballet automaton: a formal model for human motion, in Proceedings of the 2011 American Control Conference (2011)

    Google Scholar 

  9. A. LaViers, Y. Chen, C. Belta, M. Egerstedt, Automatic generation of balletic motions, in ACM/IEEE Second International Conference on Cyber-Physical Systems (2011), pp. 13–21

    Google Scholar 

  10. A. LaViers, Y. Chen, C. Belta, M. Egerstedt Automatic sequencing of ballet poses. Robot. Autom. Mag. IEEE 18(3), 87–95 (2011)

    Google Scholar 

  11. A. LaViers, M. Egerstedt, Style based robotic motion, in Proceedings of the 2012 American Control Conference (2012)

    Google Scholar 

  12. C.G. Atkeson, S. Schaal, Robot learning from demonstration, in Proceedings of the 14th International Conference on Machine Learning, ICML’97 (1997) pp. 12–20

    Google Scholar 

  13. B. Akgun, K. Subramanian, Robot learning from demonstration: kinesthetic teaching vs. teleoperation (2011)

    Google Scholar 

  14. G. Warren, S. Cook, Classical Ballet Technique (University of South Florida Press, Gainesville, FL, 1989)

    Google Scholar 

  15. A. Hutchinson-Guest, An Introduction to Motif Notation (Language of Dance Centre, London, 2007)

    Google Scholar 

  16. A. Hutchinson-Guest, Motif at a Glance! (Language of Dance Centre, London, 2000)

    Google Scholar 

  17. T. Nakata, T. Mori, T. Sato, Analysis of impression of robot bodily expression. J. Robot. Mechatron. 14(1), 27–36 (2002)

    Article  Google Scholar 

  18. M. Sharma, D. Hildebrandt, G. Newman, J. E. Young, R. Eskicioglu, Communicating affect via flight path exploring use of the laban effort system for designing affective locomotion paths, in 2013 8th ACM/IEEE International Conference on IEEE Human-Robot Interaction (HRI) (2013), pp. 293–300

    Google Scholar 

  19. H. Knight, R. Simmons, Expressive motion with x, y and theta: Laban effort features for mobile robots, in The 23rd IEEE International Symposium on Robot and Human Interactive Communication, 2014 RO-MAN (IEEE, 2014), pp. 267–273

    Google Scholar 

  20. A. LaViers, M. Egerstedt, Style-based abstractions for human motion classification, in ACM/IEEE 5th International Conference on Cyber-Physical Systems (2014)

    Google Scholar 

  21. Y. Sheng, A. LaViers, Style based human movement segmentation, in IEEE International Conference on Systems Man and Cybernetics (2014)

    Google Scholar 

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Correspondence to Amy LaViers .

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LaViers, A., Bai, L., Bashiri, M., Heddy, G., Sheng, Y. (2016). Abstractions for Design-by-Humans of Heterogeneous Behaviors. In: Laumond, JP., Abe, N. (eds) Dance Notations and Robot Motion. Springer Tracts in Advanced Robotics, vol 111. Springer, Cham. https://doi.org/10.1007/978-3-319-25739-6_11

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  • DOI: https://doi.org/10.1007/978-3-319-25739-6_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25737-2

  • Online ISBN: 978-3-319-25739-6

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