Abstract
Robotics is where Artificial Intelligence meets the real world. Al deals with symbols, rules, and abstractions, reasoning about concepts and relationships. The real world, in contrast, is tangible, full of exceptions to the rules, and often stubbornly difficult to reduce to logical expressions. Robots must span that gap. They live in the real world, and must sense, move, and manipulate real objects. Yet to be intelligent, they must also reason symbolically. The gap is especially pronounced in the case of outdoor mobile robots. The outdoors is constantly changing, due to wind in trees, changing sun positions, even due to a robot’s own tracks from previous runs. And mobility means that a robot is always encountering new and unexpected events. So static models or preloaded maps are inadequate to represent the robot’s world.
Reproduced, with permission, from the Annual Review of Computer Science Vol.2. © 1987 by Annual Review Inc.
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© 1989 Springer-Verlag Berlin Heidelberg
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Thorpe, C., Hebert, M., Kanade, T., Shafer, S. (1989). Vision and Navigation for the Carnegie Mellon Navlab. In: Linkwitz, K., Hangleiter, U. (eds) High Precision Navigation. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-74585-0_6
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DOI: https://doi.org/10.1007/978-3-642-74585-0_6
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