Home /Research /DroneGraffiti
OTHER

DroneGraffiti

Anastasia Uryasheva, Mikhail Kulbeda, Nikita Rodichenko, Dzmitry Tsetserukou

Year
2019
Citations
19

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.

Keywords

DroneComputer scienceRobotRoboticsPaintingGraffitiArtificial intelligenceProcess (computing)Key (lock)Computer vision

Related papers

Browse all OTHER papers