Acknowledgement
This research was financially supported by the Institute of Civil Military Technology Cooperation funded by the Defense Acquisition Program Administration and Ministry of Trade, Industry and Energy of Korean government under grant No. UM19304RD3.
References
- Beck, J.E., Woolf, B.P., 1998. Using a learning agent with a student model. In: International Conference on Intelligent Tutoring Systems. Springer, pp. 6-15.
- Brent, R.P., 1973. Chapter 4: an Algorithm with Guaranteed Convergence for Finding a Zero of a Function. Algorithms for Minimization without Derivatives. PrenticeHall, Englewood Cliffs, NJ, ISBN 0-13-022335-2.
- de Vos, J., Hekkenberg, R., 2019. Assessment of the required subdivision index for autonomous ships based on equivalent safety. Assessment 17-18.
- DeFilippo, M., Robinette, P., Sacarny, M., Benjamin, M.R., 2019. The remote explorer IV: an autonomous vessel for oceanographic research. In: OCEANS 2019-Marseille, pp. 1-8.
- Department of Defense, 1986. Interface Standard for Shipboard Systems: Ship Motion and Attitude (Metric), DOD-STD-1399(NAVY) Section 301A. Naval Sea Systems Command, Washington, DC.
- Elkhart brass X-Stream, 2020. http://www.elkhartbrass.com/products/masterstream/x-stream/multimedia. (Accessed 13 March 2019).
- Fraize, J., Ekman, F., Fürth, M., Hoffenson, S., Chell, B., 2019. Multi-objective reliability-based design optimization of an autonomous sailing vessel. In: 29th International Ocean and Polar Engineering Conference. International Society of Offshore and Polar Engineers.
- IMO, 2018. Maritime safety committee (MSC) 100th session.
- Juliani, A., Berges, V.P., Vckay, E., Gao, Y., Henry, H., Mattar, M., Lange, D., 2018. Unity: A General Platform for Intelligent Agents arXiv preprint arXiv 1809.02627.
- Kim, J.B., Hwang, K.Y., An, C.H., Han, Y.H., 2019. Research trends on PID control and reinforcement learning control an drone. J. Adv. Technol. Res. 4 (1), 6-13. ISSN: 0974-6269.
- Ko, E.S., Lee, M.H., 2019. A study on the legal status of unmanned maritime systems. Korean J. Mil. Art Sci. 75, 89-118. https://doi.org/10.31066/KJMAS.2019.75.3.004
- Lee, G.I., 2019. Standardization trend of IEC for self-operating ships. In: Proceedings of the Korean Institute of Navigation and Port Research Conference. Korean Institute of Navigation and Port Research, pp. 222-224.
- Macklin, M., Müller, M., 2013. Position based fluids. ACM Trans. Graph. 32 (4), 1-12.
- McNeil, J.G., Lattimer, B.Y., 2017. Robotic fire suppression through autonomous feedback control. Fire Technol. 53, 1171-1199. https://doi.org/10.1007/s10694-016-0623-1
- Miyashita, T., Sugawa, O., Imamura, T., Kamiya, K., Kawaguchi, Y., 2014. Modeling and analysis of water discharge trajectory with large capacity monitor. Fire Saf. J. 63, 1-8. https://doi.org/10.1016/j.firesaf.2013.09.028
- ML-Agents, 2020. https://github.com/Unity-Technologies/ml-agents/. (Accessed 12 May 2020).
- Mnih, V., Puigdomenech, A., Badia, Mirza, M., Graves, A., Lillicrap, T.P., Harley, T., Silver, D., Kavukcuoglu, K., 2016. Asynchronous Methods for Deep Reinforcement Learning. ArXiv preprint arXiv:1602.01783.
- Obi user manual, 2020. URL. http://obi.virtualmethodstudio.com/tutorials/.
- Perez, T., 2006. Ship Motion Control: Course Keeping and Roll Stabilisation Using Rudder and Fins. Springer Science & Business Media.
- Sin, I.S., 2018. Special Report-Trends in standardization of autonomous transport ships. TTA J 36-42.
- SM-1250 SERIES REACH, 2020. URL. https://www.elkhartbrass.com/files/aa/downloads/performance/SM-1250%20SERIES%20REACH@HEIGHT.pdf.
- Tang, H., Yin, Y., Shen, H., 2019. A model for vessel trajectory prediction based on long short-term memory neural network. J. Mar. Eng. Technol. 1-10.
- Unity. https://docs.unity3d.com/Manual/index.html. (Accessed 13 January 2020).
- Yoon, M.O., 2019. Expansion of the application of autonomous firefighting facilities and fire suppression strategy improvement plan for the reduction of fire damage. J. Kor. Inst. Fire Sci. Eng.