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abstract

Scabo: XR Smart Cardboard Toy Kit

Published:24 July 2022Publication History

ABSTRACT

We provide a new eco-friendly solution to the toy industry, which includes both hardware and software integration: a cardboard robot kit and an AR platform. This solution offers users a D-I-Y experience of making a legged robot from scratch as well as interacting with the AR scenarios. We utilize both AI and XR technologies to digitalize the real environment and then enhance users’ experiences.

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References

  1. Adel Ahmadyan, Tingbo Hou, Jianing Wei, Liangkai Zhang, Artsiom Ablavatski, and Matthias Grundmann. 2020. Instant 3D object tracking with applications in augmented reality. arXiv preprint arXiv:2006.13194(2020).Google ScholarGoogle Scholar
  2. Mark Sandler, Andrew Howard, Menglong Zhu, Andrey Zhmoginov, and Liang-Chieh Chen. 2018. Mobilenetv2: Inverted residuals and linear bottlenecks. In Proceedings of the IEEE conference on computer vision and pattern recognition. 4510–4520.Google ScholarGoogle ScholarCross RefCross Ref

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  • Published in

    cover image ACM Conferences
    SIGGRAPH '22: ACM SIGGRAPH 2022 Labs
    July 2022
    14 pages
    ISBN:9781450393676
    DOI:10.1145/3532725

    Copyright © 2022 Owner/Author

    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 24 July 2022

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