Abstract
MOOPs (Miniature Ocean Observation Platforms) are small, low cost, lightweight sailing robots intended to form a simple and flexible platform for developing robotic sailing concepts and for entering the Microtransat Challenge. They are only 72 cm long, weigh 4 kg and can be easily transported and deployed. A variety of different configurations have been tested with the intention of testing new wind sensor designs, performing experiments in autonomous power management, rudderless control and discovering wind direction without a wind sensor. Tests have been performed in lakes and at sea. During this process several limitations have been identified which cause difficulty sailing upwind, difficulty sailing downwind in single wing sail models and low hull speeds which make cause problems when fighting strong currents or tides. Future work will focus on more ocean going sailing and methods to reduce overall power consumption.
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References
Spot satellite messenger, http://www.findmespot.com (accessed June 10, 2011)
Dual wing sailed moop sailing robot (2009), http://www.youtube.com/watch?v=X9Hj3jcL5vk (accessed June 10, 2011)
Twin wing miniature sailing robot (2010), http://www.youtube.com/watch?v=w8mFVsT23Tw (accessed June 10, 2011)
Ammann, N., Hartmann, F., Jauer, P., Bruder, R., Schlaefer, A.: Design for a robotic sailboat for wrsc/sailbot. In: Proceedings of the 3rd International Robotic Sailing Conference, Kingston, Ontario, Canada, pp. 41–43 (June 2010)
Ammann, N., Biemann, R., Hartmann, F., Hauft, C., Heinecke, I., Jauer, P., Kruger, J., Meyer, T., Bruder, R., Schlaefer, A.: Towards autonomous one-design sailboat racing: navigation, communication and collision avoidance. In: Proceedings of the 3rd International Robotic Sailing Conference, Kingston, Ontario, Canada, pp. 44–48 (June 2010)
Benatar, N., Qadir, O., Owen, J., Baxter, P., Neal, M.: P-controller as an expert system for manoeuvring rudderless sail boats. In: UK Workshop on Computational Intelligence (UKCI 2009), September 7-9, University of Nottingham (2009)
Bruder, R., Schlaefer, A., Stender, B.: Model sailboats as a testbed for artificial intelligence methods. In: Proceedings of the 2nd International Robotic Sailing Conference, pp. 37–42 (2009)
Elkaim, G., Boyce, C.: An energy scavenging autonomous surface vehicle for littoral surveillance. In: Proceedings of ION Global Navigation Satellite Systems Conference (2008)
Neal, M.: A hardware proof of concept of a sailing robot for ocean observation. IEEE Transactions on Oceanic Engineering 31(2), 462–469 (2006)
Neal, M., Sauze, C., Thomas, B., Alves, J.C.: Technologies for autonomous sailing: Wings and wind sensors. In: Proceedings of the 2nd International Robotic Sailing Conference, Matosinhos, Portugal, July 6-12, pp. 23–30 (2009)
Sauze, C.: Sailing robot route planner. Microtransat Challenge Sourceforge Project (2009), http://microtransat.svn.sourceforge.net/viewvc/ansat/route_planner (accessed June 10, 2011)
Sauzé, C.: A neuro-endocrine inspired approach to power management in sailing robots. Ph.D. thesis, University of Wales, Aberystwyth (2010)
Sliwka, J., Reilhac, P., Leloup, R., Crepier, P., Malet, H.D., Sittaramane, P., Bars, F.L., Roncin, K., Aizier, B., Jaulin, L.: Autonomous robotic boat of ensieta. In: Proceedings of the 2nd International Robotic Sailing Conference, Matosinhos, Portugal, July 6-12, pp. 1–8 (2009)
Xiao, K., Sliwka, J., L. Jaulin, K.R.: A wind-independent control strategy for autonomous sailboats based on voronoi diagram (2009)
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Sauzé, C., Neal, M. (2011). MOOP: A Miniature Sailing Robot Platform. In: Schlaefer, A., Blaurock, O. (eds) Robotic Sailing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22836-0_3
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DOI: https://doi.org/10.1007/978-3-642-22836-0_3
Publisher Name: Springer, Berlin, Heidelberg
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