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Online Trajectory Generation With Distributed Model Predictive Control for Multi-Robot Motion Planning
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In the citing paper
“Computation times of our safety filter are around the same magnitude as other approaches in the literature [36], [38].”
From SwarmGPT: Combining Large Language Models With Safe Motion Planning for Drone Swarm Choreography (2025) · cites this paper as [36]
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Research works printed but not linked: 18
- 10.1109/LRA.2017.2656241 · DOI
- ?enba?lar, 0, Robust trajectory execution for multi-robot teams using distributed real-time replanning, Distrib Autonom Robot Syst, 167
- 10.1109/CONTROL.2016.7737610 · DOI
- 10.1002/rnc.4522 · DOI
- 10.1109/ICRA.2011.5980409 · DOI
- joy, 2000, Bernstein polynomials, On-Line Geometric Modeling Notes, 13
- 10.1109/TCST.2017.2739706 · DOI
- charles, 0, Polynomial trajectory planning for quadrotor flight, Proc IEEE Int Conf Robot Autom
- 10.1007/s12532-014-0071-1 · DOI
- 10.1109/LRA.2018.2890572 · DOI · Paper page
- 10.1109/ASCC.2017.8287550 · DOI
- 10.1109/TRO.2018.2853613 · DOI · Paper page
- ?áp, 0, Multi-agent RRT: Sampling-based cooperative pathfinding, Proc Int Conf Auton Agents Multi-Agent Syst, 1263
- 10.1109/ICRA.2011.5980408 · DOI
- 10.1109/ACCESS.2018.2889533 · DOI
- 10.1109/ICRA.2015.7140034 · DOI
- 10.1109/IROS.2012.6385823 · DOI
- 10.1109/TRO.2018.2793890 · DOI
Cited by
Sorted by citations
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 431
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-citation
Metadata
- Authors
- Luis, C. E., Vukosavljev, M., & Schoellig, A. P.
- Venue
- IEEE Robotics and Automation Letters
- Published
- 2020-04
- Volume
- 5
- Issue
- 2
- Pages
- 604-611
- ISSN
- 2377-3766
- 2377-3774
- Cited by
- 274
- References
- 0
- Licence
- Funders
- NSERC research and equipment (RTI 2018-00847, CRDPJ 528161-18, CREATE 466088)
- CFI JELF/ORF (#33000)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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