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abstract

DroneGraffiti: autonomous multi-UAV spray painting

Published:28 July 2019Publication History

ABSTRACT

With advances in robotics and digital arts, new ways for artwork execution emerge. One such way is mural or graffiti drawing by flying robots [Katsu 2018; TsuruRobotics 2018; Vempati et al. 2018]. This is itself a novel approach, which only recently gained traction and moved to full or partial autonomous operations. Key hurdles of drone graffiti are complicated system setup and a long painting process, associated with that only one drone is available at a time. Here we present a multi-drone graffiti dispatch system tested on up to three actual aerial robots operating simultaneously in real-time. The developed task dispatch system proved to be robust and effective. Although the proposed system and approach is best demonstrated by artistic applications, it can be transferred to commercial applications that need precise aerial vehicle operation, such as commercial painting, cleaning, and non-destructive control.

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References

  1. Apellix. 2017. Painting drone. https://www.apellix.com/. (2017).Google ScholarGoogle Scholar
  2. B. Galea, E. Kia, N. Aird, and P.G. Kry. 2016. Stippling with aerial robots. Proceedings of the Joint Symposium on Computational Aesthetics and Sketch Based Interfaces and Modeling and Non-Photorealistic Animation and Rendering (May 2016). Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Katsu. 2018. Autonomous graffiti. https://www.instagram.com/katsubot/. (2018).Google ScholarGoogle Scholar
  4. TsuruRobotics. 2018. Autonomous Mural for Sprite Ukraine. https://tsuru.su/en/project/spritemural/. (2018).Google ScholarGoogle Scholar
  5. A.S. Vempati, M. Kamel, N. Stilinovic, Q. Zhang, D. Reusser, I. Sa, J. Nieto, R. Siegwart, and P. Beardsley. 2018. PaintCopter: An Autonomous UAV for Spray Painting on 3D Surfaces. IEEE Robotics and Automation Letters (RA-L) 2018 (Oct. 2018).Google ScholarGoogle Scholar

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  1. DroneGraffiti: autonomous multi-UAV spray painting

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    • Published in

      cover image ACM Conferences
      SIGGRAPH '19: ACM SIGGRAPH 2019 Studio
      July 2019
      52 pages
      ISBN:9781450363167
      DOI:10.1145/3306306

      Copyright © 2019 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: 28 July 2019

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      Overall Acceptance Rate1,822of8,601submissions,21%

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