Exploiting Adaptive and Collaborative AUV Autonomy for Detection and Characterization of Internal Waves
Advances in the fields of autonomy software and environmental sampling techniques for autonomous underwater vehicles (AUVs) have recently allowed for the merging of oceanographic data collection with the testing of emerging marine technology. The Massachusetts Institute of Technology (MIT) Laborator...
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| Format: | Article |
| Language: | en_US |
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Institute of Electrical and Electronics Engineers (IEEE)
2015
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| Online Access: | http://hdl.handle.net/1721.1/97712 https://orcid.org/0000-0002-2883-7027 https://orcid.org/0000-0003-3422-8700 |
| _version_ | 1826191458185510912 |
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| author | Petillo, Stephanie Schmidt, Henrik |
| author2 | Massachusetts Institute of Technology. Department of Mechanical Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Mechanical Engineering Petillo, Stephanie Schmidt, Henrik |
| author_sort | Petillo, Stephanie |
| collection | MIT |
| description | Advances in the fields of autonomy software and environmental sampling techniques for autonomous underwater vehicles (AUVs) have recently allowed for the merging of oceanographic data collection with the testing of emerging marine technology. The Massachusetts Institute of Technology (MIT) Laboratory for Autonomous Marine Sensing Systems (LAMSS) group conducted an Internal Wave Detection Experiment in August 2010 with these advances in mind. The goal was to have multiple AUVs collaborate autonomously through onboard autonomy software and real-time underwater acoustic communication to monitor for the presence of internal waves by adapting to changes in the environment (specifically the temperature variations near the thermocline/pycnocline depth). The experimental setup, implementation, data, deployment results, and internal wave detection and quantification results are presented in this paper. |
| first_indexed | 2024-09-23T08:56:10Z |
| format | Article |
| id | mit-1721.1/97712 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T08:56:10Z |
| publishDate | 2015 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| spelling | mit-1721.1/977122022-09-26T09:18:46Z Exploiting Adaptive and Collaborative AUV Autonomy for Detection and Characterization of Internal Waves Petillo, Stephanie Schmidt, Henrik Massachusetts Institute of Technology. Department of Mechanical Engineering Woods Hole Oceanographic Institution Petillo, Stephanie Schmidt, Henrik Advances in the fields of autonomy software and environmental sampling techniques for autonomous underwater vehicles (AUVs) have recently allowed for the merging of oceanographic data collection with the testing of emerging marine technology. The Massachusetts Institute of Technology (MIT) Laboratory for Autonomous Marine Sensing Systems (LAMSS) group conducted an Internal Wave Detection Experiment in August 2010 with these advances in mind. The goal was to have multiple AUVs collaborate autonomously through onboard autonomy software and real-time underwater acoustic communication to monitor for the presence of internal waves by adapting to changes in the environment (specifically the temperature variations near the thermocline/pycnocline depth). The experimental setup, implementation, data, deployment results, and internal wave detection and quantification results are presented in this paper. United States. Office of Naval Research (Grant N00014-08-1-0013) United States. Dept. of Defense United States. Air Force Office of Scientific Research American Society for Engineering Education. National Defense Science and Engineering Graduate Fellowship (32 CFR 168a) 2015-07-08T17:54:39Z 2015-07-08T17:54:39Z 2014-01 2012-10 Article http://purl.org/eprint/type/JournalArticle 0364-9059 1558-1691 http://hdl.handle.net/1721.1/97712 Petillo, Stephanie, and Henrik Schmidt. “Exploiting Adaptive and Collaborative AUV Autonomy for Detection and Characterization of Internal Waves.” IEEE J. Oceanic Eng. 39, no. 1 (January 2014): 150–164. https://orcid.org/0000-0002-2883-7027 https://orcid.org/0000-0003-3422-8700 en_US http://dx.doi.org/10.1109/joe.2013.2243251 IEEE Journal of Oceanic Engineering Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) Other repository |
| spellingShingle | Petillo, Stephanie Schmidt, Henrik Exploiting Adaptive and Collaborative AUV Autonomy for Detection and Characterization of Internal Waves |
| title | Exploiting Adaptive and Collaborative AUV Autonomy for Detection and Characterization of Internal Waves |
| title_full | Exploiting Adaptive and Collaborative AUV Autonomy for Detection and Characterization of Internal Waves |
| title_fullStr | Exploiting Adaptive and Collaborative AUV Autonomy for Detection and Characterization of Internal Waves |
| title_full_unstemmed | Exploiting Adaptive and Collaborative AUV Autonomy for Detection and Characterization of Internal Waves |
| title_short | Exploiting Adaptive and Collaborative AUV Autonomy for Detection and Characterization of Internal Waves |
| title_sort | exploiting adaptive and collaborative auv autonomy for detection and characterization of internal waves |
| url | http://hdl.handle.net/1721.1/97712 https://orcid.org/0000-0002-2883-7027 https://orcid.org/0000-0003-3422-8700 |
| work_keys_str_mv | AT petillostephanie exploitingadaptiveandcollaborativeauvautonomyfordetectionandcharacterizationofinternalwaves AT schmidthenrik exploitingadaptiveandcollaborativeauvautonomyfordetectionandcharacterizationofinternalwaves |