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Robots often need to ask humans for help, for instance to complete a human component in a larger task or to recover from an unforeseen error. In this paper, we explore how robots can initiate interactions with people in order to ask for help. We discuss a study in which a robot initiated interaction with a participant by producing either an acoustic signal or a verbal greeting. Thereafter, the robot...
The consideration of data set design, collection, and distribution methodology is becoming increasingly important as robots move out of fully controlled settings, such as assembly lines, into unstructured environments. Extensive knowledge bases and data sets will potentially offer a means of coping with the variability inherent in the real world. In this study, we introduce three new data sets related...
As robots enter the everyday physical world of people, it is important that they abide by society's unspoken social rules such as respecting people's personal spaces. In this paper, we explore issues related to human personal space around robots, beginning with a review of the existing literature in human-robot interaction regarding the dimensions of people, robots, and contexts that influence human-robot...
A popular approach to problems in image classification is to represent the image as a bag of visual words and then employ a classifier to categorize the image. Unfortunately, a significant shortcoming of this approach is that the clustering and classification are disconnected. Since the clustering into visual words is unsupervised, the representation does not necessarily capture the aspects of the...
Despite significant advances in image segmentation techniques, evaluation of these techniques thus far has been largely subjective. Typically, the effectiveness of a new algorithm is demonstrated only by the presentation of a few segmented images and is otherwise left to subjective evaluation by the reader. Little effort has been spent on the design of perceptually correct measures to compare an automatic...
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