Abstract
In this chapter we review motion planning algorithms for ships, rigs, and autonomous marine vehicles. Motion planning includes path and trajectory generation, and it goes from optimized route planning (off-line long-range path generation through operating research methods) to reactive on-line trajectory reference generation, as given by the guidance system. Crucial to the marine systems case is the presence of environmental external forces (sea state, currents, winds) that drive the optimized motion generation process.
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Bibliography
Aguiar AP, Pascoal A (2012) Cooperative control of multiple autonomous marine vehicles: theoretical foundations and practical issues. In: Roberts GN, Sutton R (eds) Further advances in unmanned marine vehicles. IET, London, pp 255–282
Alvarez A, Caiti A, Onken R (2004) Evolutionary path planning for autonomous underwater vehicles in a variable ocean. IEEE J Ocean Eng 29(2):418–429
Antonelli G (2006) Underwater robots – motion and force control of vehicle-manipulator systems. 2nd edn. Springer, Berlin/New York
Breivik M, Fossen TI (2008) Guidance laws for planar motion control. In: Proceedings of the 47th IEEE conference on decision & control, Cancun
Casalino G, Simetti E, Turetta A (2009) A three-layered architecture for real time path planning and obstacle avoidance for surveillance usvs operating in harbour fields. In: Proceedings of the IEEE oceans’09-Europe, Bremen
Delling D, Sanders P, Schultes D, Wagner D (2009) Engineering route planning algorithms. In Lerner J, Wagner D, Zweig KA (eds) Algorithmics of large and complex networks. Lecture notes in computer science, vol 5515. Springer, Berlin/New York, pp 117–139
Fossen TI (2011) Handbook of marine crafts hydrodynamics and motion control. Wiley, Chichester
Goerzen C, Kong Z, Mettler B (2010) A survey of motion planning algorithms from the perspective of autonomous UAV guidance. J Intell Robot Syst 57:65–100
Greytak MB, Hover FS (2010) Robust motion planning for marine vehicle navigation. In: Proceedings of the 18th international offshore & polar engineering conference, Vancouver
LaValle SM (2006) Planning algorithms. Cambridge University Press, Cambridge/New York. Available on-line at http://planning.cs.uiuc.edu. Accessed 6 June 2013
Petres C, Pailhas Y, Patron P, Petillot Y, Evans J, Lane D (2007) Path planning for autonomous underwater vehicles. IEEE Trans Robot 23(2):331–341
Pettersen KY, Lefeber E (2001) Way-point tracking control of ships. In: Proceedings of the 40th IEEE conference decision & control, Orlando
Sanz PJ, Ridao P, Oliver G, Melchiorri C, Casalino G, Silvestre C, Petillot Y, Turetta A (2010) TRIDENT: a framework for autonomous underwater intervention missions with dexterous manipulation capabilities. In: Proceedings of the 7th IFAC symposium on intelligent autonomous vehicles, Lecce
Tam CK, Bucknall R (2010) Path-planning algorithm for ships in close-range encounters. J Mar Sci Technol 15:395–407
Tam CK, Bucknall R, Greig A (2009) Review of collision avoidance and path planning methods for ships in close range encounters. J Navig 62:455–476
Wang S, Meng Q (2012) Liner ship route schedule design with sea contingency time and port time uncertainty. Transp Res B 46:615–633
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Caiti, A. (2015). Motion Planning for Marine Control Systems. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, London. https://doi.org/10.1007/978-1-4471-5058-9_124
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DOI: https://doi.org/10.1007/978-1-4471-5058-9_124
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