Introduction
Studying ocean processes often requires observations made in a Lagrangian frame of reference, that is, a frame of reference moving with a feature of interest [1]. Often, the only way to understand a process is to acquire measurements at sufficient spatial and temporal resolution within a specific feature while it is evolving. Examples of coastal ocean features whose study requires Lagrangian observations include concentrated patches of microscopic algae (Fig. 1) that are toxic and may have impacts on fisheries, marine life and humans, or a patch of low-oxygen water that may cause marine life mortality depending on its movement and mixing.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Davis, R.E.: Lagrangian ocean studies. Annual Review of Fluid Mechanics 23(1), 43–64 (1991)
CANON: Controlled, Agile and Novel Observing Network, http://www.mbari.org/canon/
Lumpkin, R., Pazos, M.: Measuring surface currents with surface velocity program drifters: the instruments, its data and some recent results. In: Lagrangian Analysis and Prediction of Coastal and Ocean Dynamics. Cambridge University Press (2006)
Fiorelli, E., Leonard, N.E., Member, S., Bhatta, P., Paley, D.A., Member, S., Bachmayer, R., Fratantoni, D.M.: Multi-auv control and adaptive sampling in Monterey Bay. IEEE Journal of Oceanic Engineering, 935–948 (2004)
Smith, R.N., Pereira, A.A., Chao, Y., Li, P.P., Caron, D.A., Jones, B.H., Sukhatme, G.S.: Autonomous underwater vehicle trajectory design coupled with predictive ocean models: A case study. In: IEEE International Conference on Robotics and Automation, pp. 4770–4777 (2010)
Franchi, A., Stegagno, P., Rocco, M.D.D., Oriolo, G.: Distributed target localization and encircling with a multi-robot system. In: Proceedings of the 7th IFAC Symposium on Intelligent Autonomous Vehicles (IAV 2010) (2010)
McGann, C., Py, F., Rajan, K., Ryan, J.P., Henthorn, R.: Adaptive Control for Autonomous Underwater Vehicles. In: Assoc. for the Advancement of Artificial Intelligence, National Conference (AAAI), Chicago, IL (2008)
McGann, C., Py, F., Rajan, K., Ryan, J.P., Thomas, H., Henthorn, R., McEwen, R.: Preliminary Results for Model-Based Adaptive Control of an Autonomous Underwater Vehicle. In: Intnl. Symp. on Experimental Robotics (ISER), Athens (2008)
Py, F., Rajan, K., McGann, C.: A Systematic Agent Framework for Situated Autonomous Systems. In: 9th International Conf. on Autonomous Agents and Multiagent Systems, Toronto, Canada (May 2010)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag GmbH Berlin Heidelberg
About this chapter
Cite this chapter
Das, J. et al. (2014). Simultaneous Tracking and Sampling of Dynamic Oceanographic Features with Autonomous Underwater Vehicles and Lagrangian Drifters. In: Khatib, O., Kumar, V., Sukhatme, G. (eds) Experimental Robotics. Springer Tracts in Advanced Robotics, vol 79. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28572-1_37
Download citation
DOI: https://doi.org/10.1007/978-3-642-28572-1_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28571-4
Online ISBN: 978-3-642-28572-1
eBook Packages: EngineeringEngineering (R0)