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Conclusions

  • Donald House
Part of the Lecture Notes in Biomathematics book series (LNBM, volume 80)

Abstract

In our introductory chapter we expressed the hope that, by modeling a natural system, we could make contributions to the fields of both brain theory and robotics. Specifically, we wished to contribute to the understanding of the depth perception process in frogs and toads and, at the same time, to suggest depth algorithms that would be useful in the design of robotic systems. But our initial hope must be tempered by the fact that the disciplines under consideration are both in early and exploratory stages. Except under highly constrained conditions, robots do not yet make successful use of sensory feedback to control their actions. Similarly, attempts to relate animal behavior to underlying neurophysiology and neuroanatomy entail the making of assumptions that are often untestable using current methods. It is clear that, at this stage of development, a study such as ours can make only preliminary claims.

Keywords

Depth Perception Binocular Disparity Retinal Position Accommodation Process Prey Selector 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag New York, Inc. 1989

Authors and Affiliations

  • Donald House
    • 1
  1. 1.Department of Computer ScienceWilliams CollegeWilliamstownUSA

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