S. Schweigert

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Issues critical to ensuring semantic integrity in molecular biological data collections have been identified and include complexity, exceptions, missing data, changing models, holism and integration, delocalized data, interoperability and nomenclature. This combination is peculiar to biology and presents some interesting problems as a result. Little is(More)
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To truly make automation economical, there needs to be a shift in robotic performance: from highly specific at one task to general-purpose across many tasks. Unfortunately, such additional functionality is not cost-effective without a sacrifice in performance. In the case of robotics, it is a sacrifice in accuracy. This paper first investigates an industry(More)
This paper illustrates the design and implementation of a robotic software system based on robot-human interactions, which increases the applications of low-cost, inaccurate robots such as Baxter. The first four parts of the paper discuss the motivation, market & industry, IP strategy and system workflow. Then the paper explains a specific technical(More)
This project concerns the development of a system which allows tasks to be taught to a robotic manipulator using learning by demonstration. A subsystem calculates the accuracy required of the manipulator and determines which portion of the learned task it is able to perform. Therefore, the system can avoid performing tasks that require accuracy beyond the(More)
While humans can naturally feel forces as they manipulate objects, robots need special instrumentation to provide this capability. Force and torque sensing is crucial to enable robots to perform manipulation tasks such as picking up delicate items, screwing in parts for assembly, and handling deformable objects. In this paper, I present a force sensing data(More)
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