Character Synthesis of Ballet Archetypes on Robots Using Laban Movement Analysis: Comparison Between a Humanoid and an A
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Character Synthesis of Ballet Archetypes on Robots Using Laban Movement Analysis: Comparison Between a Humanoid and an Aerial Robot Platform with Lay and Expert Observation A. Bacula1
· A. LaViers2
Accepted: 2 September 2020 © Springer Nature B.V. 2020
Abstract Imitation of human movement by robots is an important area of research to create expressive systems that are able to interact with humans in social settings. One lens through which imitation may be investigated is that of character archetypes, commonly found in human story-telling. Classical ballet, a form of story-telling through movement, makes extensive use of such archetypes. This paper reviews how Laban Movement Analysis creates a descriptive taxonomy in which features of interest may be identified and reported from human performers to robotic platforms, specifically for a BeBop aerial drone and a Nao humanoid platform. To determine the success of this approach, the paper also presents evaluation by lay human viewers that validates the character transfer. Moreover, this paper offers more nuance into this evaluation by querying two specialized groups of experts, which frequently deviated from lay ratings and, thus, offer deeper insight into both the success of the character transfer and the importance of prior training in movement perception. This work may be useful in human-facing scenarios where character archetypes facilitate engagement, identification, and understanding between robots and human counterparts. Further, it highlights nuances in working with expert artists to create broadly applicable designs. Keywords Human-like movement · Character-driven robot design · Expressivity · Embodied movement analysis · Ballet
1 Introduction Actors and dancers train their whole lives to be able to express complex ideas through their bodily action in a meaningful, distinguishable way. Recreating such expression on animated characters, as in film, is also more art than science. While advances in computer graphics aid animators, the character movements are the product of both technical training and artistic talent. In robotics, then, where shape deformation of moving platforms is limited by physics and hardware, creating recognizable characters is even more difficult but requires many of the same skills of artists.
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A. Bacula [email protected] A. LaViers [email protected]
1
Collaborative Robotics and Intelligent Systems Institute, Oregon State University, Corvalis, OR 97331, USA
2
Robotics, Automation, and Dance (RAD) Lab, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
With this focus on skill in being an effective artist, for any given work, even by masters of their craft, the response to art is individual, based on the properties of the individual viewing it. This is what makes art interesting, as it creates a common experience through which we can learn about and discuss our differing points-of-view. Take for example the famous case of Leonardo Da Vinci’s Mona Lisa. The enigmatic expression of the subject and unusual c
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