Anthropological and palaeopathological examination of four male skeletons from Qumran (Near-East) revealed skeletal lesions that may be linked to an intense practice of traditional Jewish rituals within this hyper-religious community of the first-century CE: chronic inflammation of the external auditory canals linked to frequent immersion in sacred baths (mikvah), and osteo-articular lesions following intense and repeated genuflection and anteflexion of the trunk.
View Article and Find Full Text PDFThis article introduces a model-based robust control framework for electrohydraulic soft robots. The methods presented herein exploit linear system control theory as it applies to a nonlinear soft robotic system. We employ dynamic mode decomposition with control (DMDc) to create appropriate linear models from real-world measurements.
View Article and Find Full Text PDFLegged robot control has improved in recent years with the rise of deep reinforcement learning, however, much of the underlying neural mechanisms remain difficult to interpret. Our aim is to leverage bio-inspired methods from computational neuroscience to better understand the neural activity of robust robot locomotion controllers. Similar to past work, we observe that terrain-based curriculum learning improves agent stability.
View Article and Find Full Text PDFModern ski design is an inherently time-consuming process that involves an iterative feedback loop comprised of design, manufacturing and in-field qualitative evaluations. Additionally consumers can only rely on qualitative evaluation for selecting the ideal ski, and due to the variation in skier styles and ability levels, consumers can find it to be an inconsistent and expensive experience. We propose supplementing the design and evaluation process with data from in-field prototype testing, using a modular sensor array that can be ported to nearly any ski.
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