2018
DOI: 10.3390/info9100250
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Robotic Choreography Inspired by the Method of Human Dance Creation

Abstract: In general, human dance is created by the imagination and innovativeness of human dancers, which in turn provides an inspiration for robotic choreography generation. This paper proposes a novel mechanism for a humanoid robot to create good choreography autonomously with the imagination of human dance. Such a mechanism combines innovativeness with the characteristic preservation of human dance, and enables a humanoid robot to present the characteristics of “imitation, memory, imagination, process and combinatio… Show more

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Cited by 10 publications
(8 citation statements)
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“…Notably, the above three features of good robotic choreography must be deconstructed in dance motions as the requirements for good dance motions. In our experiments, the first two requirements were met by using the random generation method [4]. The machine aesthetic model achieved the last requirement, thereby enabling a robot to possess the aesthetic ability of human dance experts.…”
Section: Influence On Robotic Dancementioning
confidence: 92%
See 3 more Smart Citations
“…Notably, the above three features of good robotic choreography must be deconstructed in dance motions as the requirements for good dance motions. In our experiments, the first two requirements were met by using the random generation method [4]. The machine aesthetic model achieved the last requirement, thereby enabling a robot to possess the aesthetic ability of human dance experts.…”
Section: Influence On Robotic Dancementioning
confidence: 92%
“…Based on the dance expressive space of a humanoid robot [4] and three dance element sets [4], 5000 robotic dance poses of Chinese Tibetan tap were generated randomly. Then, every 6-10 robotic dance poses were randomly selected to form a robotic dance motion, which is a sequence of robotic dance poses.…”
Section: Methodsmentioning
confidence: 99%
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“…When a simulated NAO robot presented a dance pose in Webots, the picture shown in the "Simulation View" area of Webots was treated as the original "mirror" image of the presented robotic dance pose and observed from a "mirror" by the robot. Based on the constrained random generation method [15,17,29], 500 robotic dance poses of Chinese Tibetan Tap were generated randomly, and then the corresponding original "mirror" images of these robotic dance poses were acquired from Webots. These randomly generated dance poses have two constraints [17]: (i) they combine the innovativeness and preservation of dance characteristics of humans; (ii) dance poses causing a robot to fall are excluded.…”
Section: Methodsmentioning
confidence: 99%