Extraction of Choreography for Service robots from a Ningyo Joruri Acting script by associative model

12 pages•Published: September 20, 2022

Abstract

What we should do with service robots to attract people’s attention and communicate more smoothly? We are proceeding with the robot OSONO project, which is referring to Japanese Joruri puppets, with the theme of utilizing expressions that incorporate the "Performing arts and technology" that has been passed down through the ages. In this paper, we propose the associative model that clarifies the correspondence between Ningyo Joruri’s acting script of the performance, and the choreography, and its meaning. And using this method, we discover a number of choreographies that can be used for service robots from the performance record video. Then we will prototype robot OSONO2 and implement this choreography on it so that we confirm that it is possible to express typical poses and typical choreography comfortably by mainly static evaluation. As a result, a series of flows for extracting the choreography for service robots from the acting script / acting video will be established.

Keyphrases: associative model, choreography, joruri puppets, physical properties, robot services, service robot

In: Tokuro Matsuo (editor). Proceedings of 11th International Congress on Advanced Applied Informatics, vol 81, pages 350-361.

Links:	https://easychair.org/publications/paper/tBX7
	https://doi.org/10.29007/4s4l

BibTeX entry

@inproceedings{IIAIAAI2021-Winter:Extraction_Choreography_Service_robots,
  author    = {Masahiko Narita},
  title     = {Extraction of Choreography for Service robots from a Ningyo Joruri Acting script by associative model},
  booktitle = {Proceedings of 11th International Congress on Advanced Applied Informatics},
  editor    = {Tokuro Matsuo},
  series    = {EPiC Series in Computing},
  volume    = {81},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {/publications/paper/tBX7},
  doi       = {10.29007/4s4l},
  pages     = {350-361},
  year      = {2022}}

Download PDF Open PDF in browser