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Online Trajectory Generation With Distributed Model Predictive Control for Multi-Robot Motion Planning
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“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)
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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.
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- CoChat. (2026). Citation check: Online Trajectory Generation With Distributed Model Predictive Control for Multi-Robot Motion Planning. https://app.cochat.ai/papers/10.1109/lra.2020.2964159
- The paper
- Luis, C. E., Vukosavljev, M., & Schoellig, A. P. (2020). Online Trajectory Generation With Distributed Model Predictive Control for Multi-Robot Motion Planning. IEEE Robotics and Automation Letters. https://doi.org/10.1109/lra.2020.2964159
