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Assistive robotics holds the promise of bettering the lives of countless people throughout the world. As robots become more complex, the degrees-of-freedom for controlling robotic systems is rapidly outpacing the degrees-of-control that can be supplied by humans via conventional interfaces. In this paper, we describe a no   ...more

Lyme disease can lead to neurological, cardiac, and rheumatologic complications when untreated. Timely recognition of the erythema migrans rash of acute Lyme disease by patients and clinicians is crucial to early diagnosis and treatment. Our objective in this study was to develop deep learning approaches using deep convolutional neural networks for   ...more

Neurobiological theories of spatial cognition developed with respect to recording data from relatively small and/or simplistic environments compared to animals' natural habitats. It has been unclear how to extend theoretical models to large or complex spaces. Complementarily, in autonomous systems technology, applications have been growing for   ...more

We address the challenge of finding anomalies in ultrasound images via deep learning, specifically applying this to screening for myopathies and finding rare presentations of myopathic disease. Among myopathic diseases, this study focuses on the use case of myositis given the spectrum of muscle involvement seen in these inflammatory muscle diseases   ...more

The grouping of sensory stimuli into categories is fundamental to cognition. Previous research in the visual and auditory systems supports a two-stage processing hierarchy that underlies perceptual categorization: (a) a “bottom-up” perceptual stage in sensory cortices where neurons show selectivity for stimulus features and (b) a “top-down” second   ...more

We describe an approach to developing a verified controller using hybrid system safety predicates. It selects from a dictionary of sequences of control actions, interleaving them and under model assumptions guaranteeing their continuing safety in unbounded time. The controller can adapt to changing priorities and objectives during operation. It can   ...more

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