Titlebook: Integration, Coordination and Control of Multi-Sensor Robot Systems; Hugh F. Durrant-Whyte Book 1988 Kluwer Academic Publishers 1988 commu

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https://doi.org/10.1007/978-1-4613-2009-8communication; complexity; control; decision theory; robot; robotics; sensor; sensors; simulation; topology; u

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Conclusions,We have presented the foundations for a theory of multi-sensor integration. There are two key elements to this theory; a purposeful description of a robots environment, and an effective model of a sensors ability to extract these environment descriptions.

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Introduction, manipulators and objects, and in the planning and execution of tasks. In present-day industrial robotics, this uncertainty is represented implicitly in programming and planning, requiring errors in operation to be small and well understand. Robust task execution is accomplished by increasing sensor

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Integrating Sensor Observations,ions provided by the sensors into a robust, consistent, consensus estimate of the state of the environment. We want any integration mechanism that we produce to be readily extensible to any number of new sensors and cues, capable of utilizing partial information, and robust to failures. We maintain

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rights discourses, justify them as universal norms, and apply them differently to various communities. However, the pursuit of this goal requires attention to various complex steps: to select a normative philosophical framework that is robust enough to accommodate this proposal; interpret and define

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