Guidance & Control Networks for Time-Optimal Quadcopter Flight

S. Li, E. Öztürk, C. D. Wagter, G. C. H. E. de Croon, and D. Izzo, “Aggressive online control of a quadrotor via deep network representations of optimality principles,” CoRR , vol. abs/1912.07067, 2019. [Online]. Available: http://arxiv.org/abs/1912.07067

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C. Sánchez-Sánchez and D. Izzo, “Real-time optimal control via deep neural networks: Study on landing problems,” Journal of Guidance, Control, and Dynamics , vol. 41, 10 2016

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G. Loianno, C. Brunner, G. McGrath, and V. Kumar, “Estimation, control, and planning for aggressive flight with a small quadrotor with a single camera and imu,” IEEE Robotics and Automation Letters , vol. 2, no. 2, pp. 404–411, 2017

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J. Svacha, K. Mohta, and V. R. Kumar, “Improving quadrotor trajectory tracking by compensating for aerodynamic effects,” 2017 International Conference on Unmanned Aircraft Systems (ICUAS) , pp. 860–866, 2017

C. De Wagter, F. Paredes-Vallés, N. Sheth, and G. de Croon, “Learning fast in autonomous drone racing,” Nature Machine Intelligence , vol. 3, no. 10, p. 923, 2021, copyright: Copyright 2021 Elsevier B.V., All rights reserved

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A. Romero, S. Sun, P. Foehn, and D. Scaramuzza, “Model predictive contouring control for time-optimal quadrotor flight,” 2021. [Online]. Available: https://arxiv.org/abs/2108.13205

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2021

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P. Foehn, A. Romero, and D. Scaramuzza, “Time-optimal planning for quadrotor waypoint flight,” Science Robotics , vol. 6, no. 56, p. eabh1221, 2021. [Online]. Available: https://www.science.org/doi/abs/10.1126/scirobotics.abh1221

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D. Izzo and E. Öztürk, “Real-time guidance for low-thrust transfers using deep neural networks,” Journal of Guidance, Control, and Dynamics , vol. 44, no. 2, pp. 315–327, 2021

2021

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