Growable robot with ‘additive-additive-manufacturing

Tomomasa Wakimoto, Ryoma Takamori, Soya Eguchi, Hiroya Tanaka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Additive manufacturing, the academic term of 3D-Printing, is the way of fabricating new objects by adding materials layer-by-layer. Our team extended this technology to the next level enabling users to add materials directly onto ready-made (3D-printed) objects. Therefore, we named our technology as ‘Additive-Additive-Manufacturing’. While ‘Additive-Additive-Manufacturing’ is one of general-purpose technologies, we believe that one of the killer-applications using this technology is to customize and modify body parts of personal pet robots. In this paper, we report our concept, software and hardware technologies of additive-additive-manufacturing, and prototypes of a growable pet robot and its potentials.

Original languageEnglish
Title of host publicationCHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
Subtitle of host publicationEngage with CHI
PublisherAssociation for Computing Machinery
Volume2018-April
ISBN (Electronic)9781450356206, 9781450356213
DOIs
Publication statusPublished - 2018 Apr 20
Event2018 CHI Conference on Human Factors in Computing Systems, CHI EA 2018 - Montreal, Canada
Duration: 2018 Apr 212018 Apr 26

Other

Other2018 CHI Conference on Human Factors in Computing Systems, CHI EA 2018
CountryCanada
CityMontreal
Period18/4/2118/4/26

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Keywords

  • 3d printing
  • Additive Manufacturing
  • Communication robot
  • Robot

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software

Cite this

Wakimoto, T., Takamori, R., Eguchi, S., & Tanaka, H. (2018). Growable robot with ‘additive-additive-manufacturing. In CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI (Vol. 2018-April). [LBW110] Association for Computing Machinery. https://doi.org/10.1145/3170427.3188449