Station Keeping with an Autonomous Underwater Glider Using a Predictive Model of Ocean Currents. Branch, A., Troesch, M., Flexas, M., Thompson, A., Ferrara, J., Chao, Y., & Chien, S. In AI in the Oceans and Space Workshop, International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne, Australia, August, 2017. Paper abstract bibtex 52 downloads We investigate the use of an autonomous underwater glider as a platform for a virtual mooring. Our approach uses a simple vehicle motion model, a predictive model of ocean currents and a greedy search algorithm in order to simulate possible actions available to the vehicle and select an action to minimize the distance from the target point. Results from a 19 day experiment in October 2016 near Monterey Bay are presented where we test our control algorithm as well as investigate the effect of a glider's dive profile on its ability to act as a virtual mooring.
@inproceedings{branch-troesch-flexas-et-al-2017,
title = {Station Keeping with an Autonomous Underwater Glider Using a Predictive Model of Ocean Currents},
author = {A. Branch and M. Troesch and M. Flexas and A. Thompson and J. Ferrara and Y. Chao and S. Chien},
year = 2017,
month = {August},
booktitle = {AI in the Oceans and Space Workshop, International Joint Conference on Artificial Intelligence (IJCAI 2017)},
address = {Melbourne, Australia},
url = {https://ai.jpl.nasa.gov/public/papers/branch-ijcai2017-station.pdf},
abstract = {We investigate the use of an autonomous underwater glider as a platform for a virtual mooring. Our approach uses a simple vehicle motion model, a predictive model of ocean currents and a greedy search algorithm in order to simulate possible actions available to the vehicle and select an action to minimize the distance from the target point. Results from a 19 day experiment in October 2016 near Monterey Bay are presented where we test our control algorithm as well as investigate the effect of a glider's dive profile on its ability to act as a virtual mooring.},
clearance = {CL\#17-4088},
project = {SWOT\_station}
}
Downloads: 52
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