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In drone racing, the time-minimum trajectory is affected by the drone's capabilities, the layout of the race track, and the configurations of the gates (e.g., their shapes and sizes).
D. C. Liu and J. Nocedal, “On the limited memory bfgs method for large scale optimization,” Mathematical programming , vol. 45, no. 1-3, pp. 503–528, 1989
1989
Earlier work this paper cites.
S. Wright, J. Nocedal et al. , “Numerical optimization,” Springer Science , vol. 35, no. 67-68, p. 7, 1999
1999
Earlier work this paper cites.
L.-C. Lai, C.-C. Yang, and C.-J. Wu, “Time-optimal control of a hovering quad-rotor helicopter,” Journal of Intelligent and Robotic Systems , vol. 45, pp. 115–135, 2006
2006
Earlier work this paper cites.
J. Warren, S. Schaefer, A. N. Hirani, and M. Desbrun, “Barycentric coordinates for convex sets,” Advances in computational mathematics , vol. 27, pp. 319–338, 2007
2007
Earlier work this paper cites.
M. Diehl and S. Gros, “Numerical optimal control,” Optimization in Engineering Center (OPTEC) , 2011
2011
Earlier work this paper cites.
D. Mellinger and V. Kumar, “Minimum snap trajectory generation and control for quadrotors,” in 2011 IEEE international conference on robotics and automation . IEEE, 2011, pp. 2520–2525
2011
Earlier work this paper cites.
J. Ferrin, R. Leishman, R. Beard, and T. McLain, “Differential flatness based control of a rotorcraft for aggressive maneuvers,” in 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems . Ieee, 2011, pp. 2688–2693
2011
Earlier work this paper cites.
M. Hehn, R. Ritz, and R. D’Andrea, “Performance benchmarking of quadrotor systems using time-optimal control,” Autonomous Robots , vol. 33, pp. 69–88, 2012
2012
Earlier work this paper cites.
D. Mellinger, N. Michael, and V. Kumar, “Trajectory generation and control for precise aggressive maneuvers with quadrotors,” The International Journal of Robotics Research , vol. 31, no. 5, pp. 664–674, 2012
2012
Earlier work this paper cites.
T. Schneider, G. Ducard, K. Rudin, and P. Strupler, “Fault-tolerant control allocation for multirotor helicopters using parametric programming,” rN , vol. 1, p. r2, 2012
2012
Earlier work this paper cites.
W. Van Loock, G. Pipeleers, and J. Swevers, “Time-optimal quadrotor flight,” in 2013 European Control Conference (ECC) . IEEE, 2013, pp. 1788–1792
2013
Earlier work this paper cites.
C. Richter, A. Bry, and N. Roy, “Polynomial trajectory planning for aggressive quadrotor flight in dense indoor environments,” in Robotics Research: The 16th International Symposium ISRR . Springer, 2016, pp. 649–666
2016
Cited alongside, same era.
S. Spedicato and G. Notarstefano, “Minimum-time trajectory generation for quadrotors in constrained environments,” IEEE Transactions on Control Systems Technology , vol. 26, no. 4, pp. 1335–1344, 2017
2017
Cited alongside, same era.
M. Faessler, A. Franchi, and D. Scaramuzza, “Differential flatness of quadrotor dynamics subject to rotor drag for accurate tracking of high-speed trajectories,” IEEE Robotics and Automation Letters , vol. 3, no. 2, pp. 620–626, 2017
2017
Cited alongside, same era.
P. Foehn, A. Romero, and D. Scaramuzza, “Time-optimal planning for quadrotor waypoint flight,” Science Robotics , vol. 6, no. 56, p. eabh1221, 2021
2021
Cited alongside, same era.
A. Romero, S. Sun, P. Foehn, and D. Scaramuzza, “Model predictive contouring control for time-optimal quadrotor flight,” IEEE Transactions on Robotics , vol. 38, no. 6, pp. 3340–3356, 2022
2022
Later among the works it cites.
J. Arrizabalaga and M. Ryll, “Towards time-optimal tunnel-following for quadrotors,” in 2022 International Conference on Robotics and Automation (ICRA) . IEEE, 2022, pp. 4044–4050
2022
Later among the works it cites.
J. Ji, N. Pan, C. Xu, and F. Gao, “Elastic tracker: A spatio-temporal trajectory planner for flexible aerial tracking,” in 2022 International Conference on Robotics and Automation (ICRA) . IEEE, 2022, pp. 47–53
2022
Later among the works it cites.
M. Bos, W. Decré, J. Swevers, and G. Pipeleers, “Multi-stage optimal control problem formulation for drone racing through gates and tunnels,” in 2022 IEEE 17th International Conference on Advanced Motion Control (AMC) . IEEE, 2022, pp. 376–382
2022
Later among the works it cites.
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O. E. Ramos, “Minimum-time optimal control for a quadcopter trajectory through gates with arbitrary pose,” in 2021 IEEE XXVIII International Conference on Electronics, Electrical Engineering and Computing (INTERCON) . IEEE, 2021, pp. 1–4
2021
Cited alongside, same era.
Z. Han, Z. Wang, N. Pan, Y. Lin, C. Xu, and F. Gao, “Fast-racing: An open-source strong baseline for se(3) planning in autonomous drone racing,” IEEE Robotics and Automation Letters , vol. 6, no. 4, pp. 8631–8638, 2021
2021
Cited alongside, same era.
G. Ryou, E. Tal, and S. Karaman, “Multi-fidelity black-box optimization for time-optimal quadrotor maneuvers,” The International Journal of Robotics Research , vol. 40, no. 12-14, pp. 1352–1369, 2021
2021
Cited alongside, same era.
R. Penicka and D. Scaramuzza, “Minimum-time quadrotor waypoint flight in cluttered environments,” IEEE Robotics and Automation Letters , vol. 7, no. 2, pp. 5719–5726, 2022
2022
Cited alongside, same era.
P. Foehn, D. Brescianini, E. Kaufmann, T. Cieslewski, M. Gehrig, M. Muglikar, and D. Scaramuzza, “Alphapilot: Autonomous drone racing,” Autonomous Robots , vol. 46, no. 1, pp. 307–320, 2022
2022
Cited alongside, same era.
A. Romero, R. Penicka, and D. Scaramuzza, “Time-optimal online replanning for agile quadrotor flight,” IEEE Robotics and Automation Letters , vol. 7, no. 3, pp. 7730–7737, 2022
2022
Cited alongside, same era.
Z. Wang, X. Zhou, C. Xu, and F. Gao, “Geometrically constrained trajectory optimization for multicopters,” IEEE Transactions on Robotics , vol. 38, no. 5, pp. 3259–3278, 2022
2022
Later among the works it cites.
S. Sun, A. Romero, P. Foehn, E. Kaufmann, and D. Scaramuzza, “A comparative study of nonlinear mpc and differential-flatness-based control for quadrotor agile flight,” IEEE Transactions on Robotics , vol. 38, no. 6, pp. 3357–3373, 2022
2022
Later among the works it cites.
P. Foehn, E. Kaufmann, A. Romero, R. Penicka, S. Sun, L. Bauersfeld, T. Laengle, G. Cioffi, Y. Song, A. Loquercio et al. , “Agilicious: Open-source and open-hardware agile quadrotor for vision-based flight,” Science Robotics , vol. 7, no. 67, p. eabl6259, 2022
2022
Later among the works it cites.
2023
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2023
Closest in time.