Image and animation display with multiple mobile robots
Abstract
In this article we present a novel display that is created using a group of mobile robots. In contrast to traditional displays that are based on a fixed grid of pixels, such as a screen or a projection, this work describes a display in which each pixel is a mobile robot of controllable color. Pixels become mobile entities, and their positioning and motion are used to produce a novel experience. The system input is a single image or an animation created by an artist. The first stage is to generate physical goal configurations and robot colors to optimally represent the input imagery with the available number of robots. The run-time system includes goal assignment, path planning and local reciprocal collision avoidance, to guarantee smooth, fast and oscillation-free motion between images. The algorithms scale to very large robot swarms and extend to a wide range of robot kinematics. Experimental evaluation is done for two different physical swarms of size 14 and 50 differentially driven robots, and for simulations with 1,000 robot pixels.
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Space agencies such as NASA and ESA have started to show interest in swarm technologies, with activities such as the Swarmathon competition and research on control of swarms of picosatellites.
“Accordingly, space agencies, such as NASA and ESA, have started to show interest in swarm technologies, for example, with activities such as the already mentioned Swarmathon competition [69] and with research directed at the control of swarms of picosatellites [130].”
From Swarm Robotics: Past, Present, and Future [Point of View] (2021) · cites this paper as [69]
Cites
The Hungarian method for the assignment problem
Kuhn, H. W. (1955) · Naval Research Logistics Quarterly · doi:10.1002/nav.3800020109 · Cited by 13,120 · see citing works
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Swarm Robotics: Past, Present, and Future [Point of View]
Dorigo, M., Theraulaz, G., & Trianni, V. (2021) · Proceedings of the IEEE · doi:10.1109/jproc.2021.3072740 · Cited by 401 · see citing works
- Authors
- Alonso-Mora, J., Breitenmoser, A., Rufli, M., Siegwart, R., & Beardsley, P.
- Affiliations
- Autonomous Systems Lab, ETH Zurich, Switzerland
- ETH Zurich (CH)
- Walt Disney (Switzerland) (CH)
- Venue
- The International Journal of Robotics Research
- Publisher
- SAGE Publications
- Published
- 2012-05
- Volume
- 31
- Issue
- 6
- Pages
- 753-773
- ISSN
- 0278-3649 (ISSN-L)
- 1741-3176
- OpenAlex
- W2014192044
- Cited by
- 100
- References
- 1
- Citations by year
- 2026: 1 · 2025: 10 · 2024: 6 · 2023: 3 · 2022: 2 · 2021: 10 · 2020: 12 · 2019: 7 · 2018: 8 · 2017: 9 · 2016: 9 · 2015: 10 · 2014: 7 · 2013: 4 · 2012: 2
- FWCI
- 11.25
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The International Journal of Robotics Research (publishedVersion)
- Topics
- Physical Sciences › Engineering › Mechanical Engineering › Modular Robots and Swarm Intelligence
- Physical Sciences › Computer Science › Human-Computer Interaction › Interactive and Immersive Displays
- Physical Sciences › Computer Science › Computer Networks and Communications › Distributed Control Multi-Agent Systems
- Keywords
- swarm robotics, image representation, path planning, collision avoidance, differential drive robot
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