ML Anthology

Statement of Thesis Research: Multi-Robot Sampling Strategies for Large-Scale Oceanographic Experiments

Jnaneshwar Das
IJCAI 2011 pp. 2790-2791
doi:10.5591/978-1-57735-516-8/IJCAI11-467 /ijcai/2011/das2011ijcai-statement/

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.

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Cite

Text

Das. "Statement of Thesis Research: Multi-Robot Sampling Strategies for Large-Scale Oceanographic Experiments." International Joint Conference on Artificial Intelligence, 2011. doi:10.5591/978-1-57735-516-8/IJCAI11-467

Markdown

[Das. "Statement of Thesis Research: Multi-Robot Sampling Strategies for Large-Scale Oceanographic Experiments." International Joint Conference on Artificial Intelligence, 2011.](https://mlanthology.org/ijcai/2011/das2011ijcai-statement/) doi:10.5591/978-1-57735-516-8/IJCAI11-467

BibTeX

@inproceedings{das2011ijcai-statement,
  title     = {{Statement of Thesis Research: Multi-Robot Sampling Strategies for Large-Scale Oceanographic Experiments}},
  author    = {Das, Jnaneshwar},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2011},
  pages     = {2790-2791},
  doi       = {10.5591/978-1-57735-516-8/IJCAI11-467},
  url       = {https://mlanthology.org/ijcai/2011/das2011ijcai-statement/}
}