My lab is focused on the algorithmic and machine learning challenges in making autonomous exploration robots, and automated analyses of large datasets. Given the sensor data, I am interested in developing techniques to extract meaning from the data so that we can develop robots that understand their surroundings at various levels of abstraction, identify interesting phenomena, and plan their mission adaptively.
Potential projects could involve development of a stereo vision based collision avoidance system for a small underwater robot; automated analysis of ambient soundscapes; development of deep neural network based techniques for characterizing seafloor imagery. Some experience and/or interest in one or more of the following is highly desirable: computer vision, machine learning, marine robotics, python, ROS.
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