mlsanityData to 14 Oct 2026

Breathless: An 8-hour Performance Contrasting Human and Robot Expressiveness

arXiv 2411.12361 ↗First posted 19 Nov 2024cs.RO cs.CVcited by 0

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Abstract (arXiv)

This paper describes the robot technology behind an original performance that pairs a human dancer (Cuan) with an industrial robot arm for an eight-hour dance that unfolds over the timespan of an American workday. To control the robot arm, we combine a range of sinusoidal motions with varying amplitude, frequency and offset at each joint to evoke human motions common in physical labor such as stirring, digging, and stacking. More motions were developed using deep learning techniques for video-based human-pose tracking and extraction. We combine these pre-recorded motions with improvised robot motions created live by putting the robot into teach-mode and triggering force sensing from the robot joints onstage. All motions are combined with commercial and original music using a custom suite of python software with AppleScript, Keynote, and Zoom to facilitate on-stage communication with the dancer. The resulting performance contrasts the expressivity of the human body with the precision of robot machinery. Video, code and data are available on the project website: https://sites.google.com/playing.studio/breathless

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 4 of its 34 references that are in the map. First posted on arXiv 19 Nov 2024.

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4 of 34 references.

References · 4

  1. 2016Realtime Multi-Person 2D Pose Estimation using Part Affinity Fieldscited by 1,064
  2. 2017Choreographic and Somatic Approaches for the Development of Expressive Robotic Systemscited by 2
  3. 2018Dance Teaching by a Robot: Combining Cognitive and Physical Human-Robot Interaction for Supporting the Skill Learning Processcited by 2
  4. 2023Music Mode: Transforming Robot Movement into Music Increases Likability and Perceived Intelligencecited by 2

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