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Much of the work in robotics assumes that sensors provide very little data, and/or that the data is both unreliable and difficult to extract. This has led to a great deal of research on combining the information presented by a large collection of sensors, a difficult and often expensive proposition. In this paper I will argue that low cost vision systems can often provide a large amount of useful data directly, thus reducing the need to use fuse information across modalities.
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