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Updated citations section.

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2023-12-12 14:13:55 -05:00
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@@ -67,13 +67,18 @@ This paper addresses the theory, simulation framework, and benchmarking studies.
# Elsewhere In Literature
The following is a selection of papers that have used a previous version of RotorPy for generating their simulated results:
The following is a selection of papers that have used RotorPy (or previous versions of RotorPy) for generating their simulated results:
1. K. Y. Chee and M. A. Hsieh. "Learning-enhanced Nonlinear Model Predictive Control using Knowledge-based Neural Ordinary Differential Equations and Deep Ensembles," submitted to *5th Annual Learning for Dynamics \& Control Conference*, Philadelphia, PA USA, Jun 2023.
2. K. Y. Chee, T. Z. Jiahao and M. A. Hsieh. "KNODE-MPC: A Knowledge-Based Data-Driven Predictive Control Framework for Aerial Robots,'' in *IEEE Robotics and Automation Letters*, vol. 7, no. 2, pp. 2819-2826, Apr 2022.
3. Jiahao, Tom Z. and Chee, Kong Yao and Hsieh, M. Ani. "Online Dynamics Learning for Predictive Control with an Application to Aerial Robots," in *the Proc. of the 2022 Conference on Robot Learning (CoRL)*, Auckland, NZ, Dec 2022.
4. K. Mao, J. Welde, M. A. Hsieh, and V. Kumar, “Trajectory planning for the bidirectional quadrotor as a differentially flat hybrid system,” in *2023 International Conference on Robotics and Automation (ICRA) (accepted)*, 2023.
5. He, S., Hsu, C. D., Ong, D., Shao, Y. S., & Chaudhari, P. (2023). Active Perception using Neural Radiance Fields. *arXiv preprint arXiv:2310.09892*.
If you use this simulator for published work, let me know as I am happy to add your reference to this list.
RotorPy was also listed among other UAV simulators in a recent survey:
Dimmig, C. A., Silano, G., McGuire, K., Gabellieri, C., Hönig, W., Moore, J., & Kobilarov, M. (2023). *Survey of Simulators for Aerial Robots*. arXiv preprint arXiv:2311.02296.
**If you use this simulator for published work, let me know as I am happy to add your reference to this list.**
# Acknowledgements