The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Dance of the Flying Machines: Methods for Designing and Executing an Aerial Dance Choreography
Abstract
Imagine a troupe of dancers flying together across a big open stage, their movement choreographed to the rhythm of the music. Their performance is both coordinated and skilled; the dancers are well rehearsed, and the choreography well suited to their abilities. They are no ordinary dancers, however, and this is not an ordinary stage. The performers are quadrocopters, and the stage is the ETH Zurich Flying Machine Arena, a state-of-the-art mobile testbed for aerial motion control research (Figure 1).
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“In aerial swarm choreography, prior work has primarily relied on manually constructed sequences of motion primitives with hand-tuned parameters [23], [24].These approaches require expert involvement to align choreography with musical timing and expression.”
From SwarmGPT: Combining Large Language Models With Safe Motion Planning for Drone Swarm Choreography (2025) · cites this paper as [24]
Citations
Cites
Flatness and defect of non-linear systems: introductory theory and examples
FLIESS, M., LÉVINE, J., MARTIN, P., & ROUCHON, P. (1995) · International Journal of Control · doi:10.1080/00207179508921959 · Cited by 3,126
Minimum snap trajectory generation and control for quadrotors
Mellinger, D., & Kumar, V. (2011) · 2011 IEEE International Conference on Robotics and Automation · doi:10.1109/icra.2011.5980409 · Cited by 2,367
Augugliaro, F., Schoellig, A. P., & D'Andrea, R. (2012) · 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems · doi:10.1109/iros.2012.6385823 · Cited by 320
Self-citationEvaluation of the Audio Beat Tracking System BeatRoot
Dixon, S. (2007) · Journal of New Music Research · doi:10.1080/09298210701653310 · Cited by 157
Interactive improvisation with a robotic marimba player
Hoffman, G., & Weinberg, G. (2011) · Autonomous Robots · doi:10.1007/s10514-011-9237-0 · Cited by 100
Newlove, J., & Dalby, J. T. (2019) · Routledge eBooks · doi:10.4324/9781315060002 · Cited by 77
Cheek to Chip: Dancing Robots and AI's Future
Aucouturier, J. (2008) · IEEE Intelligent Systems · doi:10.1109/mis.2008.22 · Cited by 66
Synchronizing the motion of a quadrocopter to music
Schoellig, A. P., Augugliaro, F., Lupashin, S., & D’Andrea, R. (2010) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2010.5509755 · Cited by 50
Self-citationAutonomous robot dancing driven by beats and emotions of music
Xia, G., Tay, J., Dannenberg, R. B., et al. (2012) · Adaptive Agents and Multi-Agents Systems · doi:10.5555/2343576.2343605 · Cited by 49
LaViers, A., & Egerstedt, M. (2012) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2012.6315287 · Cited by 43
Research works printed but not linked: 3
- grunberg, 2010, Development of an autonomous dancing robot, International Journal of Hybrid Information Technology, 3, 33
- 2010, The First IROS 2010 Workshop on Robots and Musical Expressions, Proc IROS Workshop Robots Musical Expressions
- boyd, 2008, Sequential convex programming (Lecture Notes), Stanford Univ of Stanford
Cited by
SwarmGPT: Combining Large Language Models With Safe Motion Planning for Drone Swarm Choreography
Schuck, M., Dahanaggamaarachchi, D. O., Sprenger, B., Vyas, V., Zhou, S., & Schoellig, A. P. (2025) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2025.3619745 · Cited by 18
Self-citationFast and In Sync: Periodic Swarm Patterns for Quadrotors
Du, X., Luis, C. E., Vukosavljev, M., & Schoellig, A. P. (2019) · 2019 International Conference on Robotics and Automation (ICRA) · doi:10.1109/icra.2019.8794017 · Cited by 18
Self-citation
Metadata
- Authors
- Augugliaro, F., Schoellig, A. P., & D'Andrea, R.
- Venue
- IEEE Robotics & Automation Magazine
- Published
- 2013-12
- Volume
- 20
- Issue
- 4
- Pages
- 96-104
- ISSN
- 1070-9932
- Cited by
- 25
- References
- 20
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- Augugliaro, F., Schoellig, A. P., & D'Andrea, R. (2013). Dance of the Flying Machines: Methods for Designing and Executing an Aerial Dance Choreography. IEEE Robotics & Automation Magazine. https://doi.org/10.1109/mra.2013.2275693
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
