Abstract
This chapter presents examples of emergent cognitive mappings in mobile robotics, in application areas as diverse as self-localisation, route learning, novelty detection or action selection.
In all cases, be it navigational or non-navigational tasks, the robot control mechanisms share fundamental properties:
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they exploit an internal mapping between “world space” and “map space” (the cognitive map),
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they acquire maps through learning, rather than using pre-installed maps, and
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they use these maps for a broad range of tasks, rather than narrowly defined ones.
In other words, this chapter presents evidence for a convergence towards one common underlying mechanism over a broad spectrum of mobile robot control architectures.
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Nehmzow, U. (2007). Emergent Cognitive Mappings in Mobile Robots Through Self-organisation. In: Jefferies, M.E., Yeap, WK. (eds) Robotics and Cognitive Approaches to Spatial Mapping. Springer Tracts in Advanced Robotics, vol 38. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75388-9_6
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DOI: https://doi.org/10.1007/978-3-540-75388-9_6
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