MARCut: Marker-based laser cutting for personal fabrication on existing objects

Takashi Kikuchi, Yuichi Hiroi, Ross T. Smith, Bruce H. Thomas, Maki Sugimoto

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

3 Citations (Scopus)

Abstract

Typical personal fabrication using a laser cutter allows objects to be created from raw material and the engraving of existing objects. Current methods to precisely align an object with the laser is a difficult process due to indirect manipulations. In this paper, we propose a marker-based system as a novel paradigm for direct interactive laser cutting on existing objects. Our system, MARCut, performs the laser cutting based on tangible markers that are applied directly onto the object to express the design. Two types of markers are available; hand constructed Shape Markers that represent the desired geometry, and Command Markers that indicate the operational parameters such as cut, engrave or material.

Original languageEnglish
Title of host publicationTEI 2016 - Proceedings of the 10th Anniversary Conference on Tangible Embedded and Embodied Interaction
PublisherAssociation for Computing Machinery, Inc
Pages468-474
Number of pages7
ISBN (Print)9781450335829
DOIs
Publication statusPublished - 2016 Feb 14
Event10th Anniversary Conference on Tangible Embedded and Embodied Interaction, TEI 2016 - Eindhoven, Netherlands
Duration: 2016 Feb 142016 Feb 17

Other

Other10th Anniversary Conference on Tangible Embedded and Embodied Interaction, TEI 2016
CountryNetherlands
CityEindhoven
Period16/2/1416/2/17

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Keywords

  • Laser cutting
  • Marker-based
  • Personal fabrication

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Information Systems

Cite this

Kikuchi, T., Hiroi, Y., Smith, R. T., Thomas, B. H., & Sugimoto, M. (2016). MARCut: Marker-based laser cutting for personal fabrication on existing objects. In TEI 2016 - Proceedings of the 10th Anniversary Conference on Tangible Embedded and Embodied Interaction (pp. 468-474). Association for Computing Machinery, Inc. https://doi.org/10.1145/2839462.2856549