Statement of Thesis Research: Multi-Robot Sampling Strategies for Large-Scale Oceanographic Experiments
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 2790-2790.
Abstract
The thesis research focuses on developing tools and techniques in the robotic sciences to study and understand largescale dynamic coastal processes that are driven by global climate change. As a first step, the work targets Harmful Algal Blooms (HABs) which have significant societal and economic impact to coastal communities, yet are poorly understood ecologically because of undersampling.
Jnaneshwar Das. 2011. Statement of Thesis Research: Multi-Robot Sampling Strategies for Large-Scale Oceanographic Experiments. In Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11. IJCAI, 2790–2790. https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-467
Das, J. (2011). Statement of Thesis Research: Multi-Robot Sampling Strategies for Large-Scale Oceanographic Experiments. In Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11 (pp. 2790–2790). IJCAI. https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-467
@inproceedings{ijcai2011p467,
title = {Statement of Thesis Research: Multi-Robot Sampling Strategies for Large-Scale Oceanographic Experiments},
author = {Das, Jnaneshwar},
booktitle = {Proceedings of the Twenty-Second International Joint Conference on
Artificial Intelligence, {IJCAI-11}},
publisher = {AAAI Press/International Joint Conferences on Artificial Intelligence},
editor = {Toby Walsh},
pages = {2790--2790},
year = {2011},
month = {7},
doi = {10.5591/978-1-57735-516-8/IJCAI11-467},
url = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-467},
}
TY - CPAPER TI - Statement of Thesis Research: Multi-Robot Sampling Strategies for Large-Scale Oceanographic Experiments AU - Das, Jnaneshwar T2 - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11 PB - AAAI Press/International Joint Conferences on Artificial Intelligence PY - 2011 SP - 2790 EP - 2790 DO - 10.5591/978-1-57735-516-8/IJCAI11-467 UR - https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-467 ER -Copied
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