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<Paper uid="C82-1002">
  <Title>COGNITIVE MODELS FOR COMPUTER VISION</Title>
  <Section position="8" start_page="0" end_page="0" type="concl">
    <SectionTitle>
CONCLUSIONS
</SectionTitle>
    <Paragraph position="0"> The'problem of robotic vision has been 0nly sketched in this paper.</Paragraph>
    <Paragraph position="1"> Even if more detailed analysis of some particular objects can be found in the literature 13,7,10,131,vision is yet a substantially open prob~ lem. A number of basic questions as,for example,~the representation of objects with variable shapes,or the use of knowledge about the expected goals of an actor to infer its future movementyand the proper linking of cognition with image-processing procedures,are still waiting fora suitable answer. However,these topics are receiving more and more attention,both because of impact that an advanced,integrated visionmanipulation system could have on the applications of robotics,and because artificial intelligence people are aware that there is a large number of linguistic problem that cannot be solved if this perception capability is not achieved.</Paragraph>
    <Paragraph position="2"> The work described in this paper is part of a largo project,whose goal is the development of a cognitive background,based on conceptual dependency and related concepts lll,121,for an integrated vision-manip~ lation system.</Paragraph>
  </Section>
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