Robot Choreography: The Use of the Kinetography Laban System to Notate Robot Action and Motion

Salaris, Paolo; Abe, Naoko; Laumond, Jean–Paul

doi:10.1109/mra.2016.2636361

Cited by 13 publications

(7 citation statements)

References 22 publications

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“…This necessarily means that observation by a trained expert needs to be marked and tracked through academic work -both to attribute expertise and to acknowledge that a different scholar might come to different conclusions. Recent publications outside our group reinforce the value of collaboration with movement professionals and highlight a troubling practice of not honoring expert observation with paper authorship [94].…”

Section: Logistics Of Working With Dancers Choreographers and Cmasmentioning

confidence: 86%

Choreographic and Somatic Approaches for the Development of Expressive Robotic Systems

LaViers

Cuan²,

Heimerdinger

et al. 2018

Arts

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As robotic systems are moved out of factory work cells into human-facing environments questions of choreography become central to their design, placement, and application. With a human viewer or counterpart present, a system will automatically be interpreted within context, style of movement, and form factor by human beings as animate elements of their environment. The interpretation by this human counterpart is critical to the success of the system's integration: "knobs" on the system need to make sense to a human counterpart; an artificial agent should have a way of notifying a human counterpart of a change in system state, possibly through motion profiles; and the motion of a human counterpart may have important contextual clues for task completion. Thus, professional choreographers, dance practitioners, and movement analysts are critical to research in robotics. They have design methods for movement that align with human audience perception; they can help identify simplified features of movement that will effectively accomplish human-robot interaction goals; and they have detailed knowledge of the capacity of human movement. This article provides approaches employed by one research lab, specific impacts on technical and artistic projects within, and principles that may guide future such work. The background section reports on choreography, somatic perspectives, improvisation, the Laban/Bartenieff Movement System, and robotics. From this context methods including embodied exercises, writing prompts, and community building activities have been developed to facilitate interdisciplinary research. The results of this work are presented as an overview of a smattering of projects in areas like high-level motion planning, software development for rapid prototyping of movement, artistic output, and user studies that help understand how people interpret movement. Finally, guiding principles for other groups to adopt are posited.

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Section: Logistics Of Working With Dancers Choreographers and Cmasmentioning

confidence: 86%

Choreographic and Somatic Approaches for the Development of Expressive Robotic Systems

LaViers

Cuan²,

Heimerdinger

et al. 2018

Arts

View full text Add to dashboard Cite

show abstract

“…Further, this environment does not easily relate to button-based controllers like those used in field environments as discussed for the PackBot in Section I. The closest prior work to ours is [37] where Labanotation is used to generate robotic motion for the Romeo movement. Note that Labanotation is a distinct notation system from Motif, utilizing an anatomical staff to organize the same spatial symbols introduced here.…”

Section: Comparison To Other Methodsmentioning

confidence: 99%

“…Moreover, it is a much more detail-oriented system than the Motif shorthand used here. The work in [37] focuses on the anatomical staff of Labanotation as well as the spatial symbols from the framework (while other symbols are not considered). Thus, there is a lot of overlap in our approach as both works focus on the Body and Space categories of LBMS.…”

Section: Comparison To Other Methodsmentioning

confidence: 99%

“…Typically it is used for archival records of dances, which contain detailed instructions and intentions of a choreographer that may not even render well in video records. In [37] Labanotation is used to generate a specification language for the humanoid robot Romeo. More detailed comparison to this work and existing methods will be made in Section VIII.…”

Section: Introductionmentioning

confidence: 99%

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An Embodied, Platform-invariant Architecture for Connecting High-level Spatial Commands to Platform Articulation

Sher,

Huzaifa,

et al. 2019

Preprint

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In contexts such as teleoperation, robot reprogramming, human-robot-interaction, and neural prosthetics, conveying movement commands to a robotic platform is often a limiting factor. Currently, many applications rely on jointangle-by-joint-angle prescriptions. This inherently requires a large number of parameters to be specified by the user that scales with the number of degrees of freedom on a platform, creating high bandwidth requirements for interfaces. This paper presents an efficient representation of high-level, spatial commands that specifies many joint angles with relatively few parameters based on a spatial architecture that is judged favorably by human viewers. In particular, a general method for labeling connected platform linkages, generating a databank of user-specified poses, and mapping between high-level spatial commands and specific platform static configurations are presented. Thus, this architecture is "platform-invariant" where the same high-level, spatial command can be executed on any platform. This has the advantage that our commands have meaning for human movers as well. In order to achieve this, we draw inspiration from Laban/Bartenieff Movement Studies, an embodied taxonomy for movement description. The architecture is demonstrated through implementation on 26 spatial directions for a Rethink Robotics Baxter, an Aldebaran NAO, and a KUKA youBot. User studies are conducted to validate the claims of the proposed framework.

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“…Implementation of the same in a computer has been done through a Bayesian approach [11] and also by three-dimensional tele-immersive (3DTI), in which the choreographic process was enhanced by Nahrstedt et al [12] using a 3DTI room surrounded by multiple three-dimensional digital cameras and displays from a remotely placed dancer. Understanding the correlation between the tasks of choreographer and roboticists, Salaris et al [13] carried out their research work of combining a dance notation system with a robot programming system. The difference in robot and human movements are expressed using the implicit rules of the Kinetography Laban system.…”

Section: Dance Representationmentioning

confidence: 99%

An extensive review of computational dance automation techniques and applications

Joshi

Chakrabarty²

2021

Proc. R. Soc. A.

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Dance is an art and when technology meets this kind of art, it is a novel attempt in itself. Many researchers have attempted to automate several aspects of dance, right from dance notation to choreography; from dance capturing to dance generation. We define and illustrate the concept of ‘Dance Automation’ in this paper. Furthermore, we have encountered several applications of dance automation like e-learning, heritage preservation, medical therapy, etc. Despite decades of continuous attempts by many researchers in various styles of dance all round the world, we found a review paper that portrays the research status in this area of ‘dance and computers’ dating to 1990 (Leonardo 1990 Computers and dance: A bibliography , pp. 87–90). Hence, we decided to compose a comprehensive review article that showcases several aspects of dance automation and document contributions of researchers in marrying creativity with logic. This paper is an attempt to review research work reported in the literature, categorize and group significant research work completed in a span of 1967–2020 in the field of automating dance. We have explicitly identified six major categories corresponding to the use of computers in dance automation, namely, dance representation, dance capturing, dance semantics, dance generation, dance processing approaches and applications of dance automation systems. We classified several research papers under these categories according to their research approach and functionality. With the help of proposed categories and subcategories, one can easily determine the state of research and the new avenues left for exploration in the field of dance automation.

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Robot Choreography: The Use of the Kinetography Laban System to Notate Robot Action and Motion

Cited by 13 publications

References 22 publications

Choreographic and Somatic Approaches for the Development of Expressive Robotic Systems

Choreographic and Somatic Approaches for the Development of Expressive Robotic Systems

An Embodied, Platform-invariant Architecture for Connecting High-level Spatial Commands to Platform Articulation

An extensive review of computational dance automation techniques and applications

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