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https://doi.org/10.1007/978-3-319-75705-6 be obtained, and human knowledge lies there. Thus, it is important for the robot to acquire the knowledge and to develop the ability to use language. This paper describes a novel approach to a humanoid robot that makes linguistic inference by using language knowledge in the dictionary. Sentences ar
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https://doi.org/10.1007/978-94-009-0699-0ons involve interacting with people, such as “Follow the person to the kitchen” or “Meet the person at the elevators.” These instructions require that the robot fluidly react to changes in the environment, not simply follow a pre-computed plan. We present an algorithm for understanding natural langu
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Law, Interpretation and Realityt. Specifically, this research aims to quantitatively model confirmation feedback, as required by a robot while communicating with a human operator to perform a particular task. Our goal is to model human-robot interaction from the perspective of risk minimization, taking into account errors in comm
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A Global Crime and World Hunger,n due to their small size and high power density. SMAs are attractive actuators when large forces or displacements are required and limited spaces are available. SMA actuators are shape-setted to an arc shape and mounted on the outer surface of the probe to generate bending action upon thermal actua
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