The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Generation of collision-free trajectories for a quadrocopter fleet: A sequential convex programming approach
Abstract
This paper presents an algorithm that generates collision-free trajectories in three dimensions for multiple vehicles within seconds. The problem is cast as a non-convex optimization problem, which is iteratively solved using sequential convex programming that approximates non-convex constraints by using convex ones. The method generates trajectories that account for simple dynamics constraints and is thus independent of the vehicle's type. An extensive a posteriori vehicle-specific feasibility check is included in the algorithm. The algorithm is applied to a quadrocopter fleet. Experimental results are shown.
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Citations
Cites
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Minimum snap trajectory generation and control for quadrotors
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A Survey of Motion Planning Algorithms from the Perspective of Autonomous UAV Guidance
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A simple learning strategy for high-speed quadrocopter multi-flips
Lupashin, S., Schöllig, A., Sherback, M., & D'Andrea, R. (2010) · 2010 IEEE International Conference on Robotics and Automation · doi:10.1109/robot.2010.5509452 · Cited by 278
Self-citationA simple learning strategy for high-speed quadrocopter multi-flips
Lupashin, S., Schoellig, A. P., Sherback, M., & D’Andrea, R. (2009) · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · doi:10.3929/ethz-a-005888743 · Cited by 242
Self-citationDistributed Robust Receding Horizon Control for Multivehicle Guidance
Kuwata, Y., Richards, A., Schouwenaars, T., & How, J. P. (2007) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2007.899152 · Cited by 168
Applications of hybrid reachability analysis to robotic aerial vehicles
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Multi-robot system for artistic pattern formation
Alonso–Mora, J., Breitenmoser, A., Rufli, M., Siegwart, R., & Beardsley, P. A. (2011) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2011.5980269 · Cited by 96
Cited by
Swarm of micro flying robots in the wild
Zhou, X., Wen, X., Wang, Z., Gao, Y., Li, H., Wang, Q., Yang, T., Lu, H., Cao, Y., Xu, C., et al. (2022) · Science Robotics · doi:10.1126/scirobotics.abm5954 · Cited by 657
Learning deep control policies for autonomous aerial vehicles with MPC-guided policy search
Zhang, T., Kahn, G., Levine, S., & Abbeel, P. (2016) · 2016 IEEE International Conference on Robotics and Automation (ICRA) · doi:10.1109/icra.2016.7487175 · Cited by 452
“quently used to control autonomous aerial vehicles such as quadrotors [38], [35], [34], [3], [2], [4], [29].”
Survey of convex optimization for aerospace applications
Liu, X., Lu, P., & Pan, B. (2017) · Astrodynamics · doi:10.1007/s42064-017-0003-8 · Cited by 341
Trajectory Planning for Quadrotor Swarms
Honig, W., Preiss, J. A., Kumar, T. K. S., Sukhatme, G. S., & Ayanian, N. (2018) · IEEE Transactions on Robotics · doi:10.1109/tro.2018.2853613 · Cited by 315
Luis, C. E., Vukosavljev, M., & Schoellig, A. P. (2020) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2020.2964159 · Cited by 274
Self-citation
Metadata
- Authors
- Augugliaro, F., Schoellig, A. P., & D'Andrea, R.
- Venue
- 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems
- Publisher
- IEEE
- Published
- 2012-10
- Pages
- 1917-1922
- OpenAlex
- W2062731992
- Cited by
- 320
- References
- 13
- FWCI
- 5.93
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Augugliaro, F., Schoellig, A. P., & D'Andrea, R. (2012). Generation of collision-free trajectories for a quadrocopter fleet: A sequential convex programming approach. 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems. https://doi.org/10.1109/iros.2012.6385823
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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.
