OCEANS 17: Learning Seasonal Phytoplankton Communities with Topic Models

[This work won 2nd prize in the student poster competition at the OCEANS17(Anchorage) conference. Congrats Arnold!] We have developed a probabilistic generative model for phytoplankton communities. Th…

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Summer Intern Project: SlickLizard Autonomous Surface Vehicle

USBL systems work best when there is not much horizontal distance between the transceiver and transponder. However, when deploying ROVs off a dock, there can be lots of distance between the USBL mode…

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IROS 2017: Feature discovery and visualization of robot mission data using convolutional autoencoders and Bayesian nonparametric topic modeling

Abstract: We introduce a novel unsupervised machine learning framework that incorporates the ability of convolutional autoencoders to discover features from images that directly encode spatial informa…

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ICRA 2017: Phytoplankton Hotspot Prediction With an Unsupervised Spatial Community Model

Many interesting natural phenomena are sparsely distributed and discrete. Locating the hotspots of such sparsely distributed phenomena is often difficult because their density gradient is likely to b…

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Visualizing AUV missions to Hannibal seamount

The following visualizations correspond to 16 dives by the SeaBed AUV at Hannibal seamount in Panama in 2015. These visualizations demonstrate that the learned model is automatically able to character…

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Field Trip: Using robots for characterizing coral reef soundscapes in US Virgin Islands

We recently went to US Virgin Islands to do some preliminary data collection of coral reef soundscapes using a robot. This trip was also our first attempt at deploying a BlueROV2 robot in the ocean.…

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Robot Systems

Robots with alternative locomotion design can assist us in observing previously inaccessible environments. Here are some examples of our prior work. MARE: Marine Autonomous Robotic Explorer MARE is a…

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Sensing the world, abstractly.

We want our robots to sense the world at varying levels of abstraction. From raw sensor value, to terrain type, to habitat type. ROST is a technique for semantic modeling of high bandwidth streaming s…

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Expedition to Hannibal Seamount, Panama, 2015

In June 2015, we conducted an expedition to Hannibal Bank, a seamount and an ecological hotspot in the coastal eastern tropical Pacific Ocean off Panama, and explored the zonation, biodiversity, and t…

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Interactive Exploration of Mission Data

ROST can automatically characterize large image datasets, identify various scene components and detect context aware anomalies. These automatically annotated datasets can then be visualized using vari…

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