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Certain robot missions need to perform predictably in a physical environment that may only be poorly characterized in advance. We have previously developed an approach to establishing performance guarantees for behavior-based controllers in a process-algebra framework. We extend that work here to include random variables, and we show how our prior results(More)
—Predicting the location an image was taken at is a long standing research problem in computer vision. Given the recent successes with using deep learning techniques , we present a series of approaches towards image geo-location using a variety of deep learning techniques. This report describes our implementation and experimental setup of training the(More)
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