Browsing CAIR - the Centre for Artificial Intelligence Research by Title

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  • Schmidt, J.; Wong, C.; Yeap, W. (IEEE, AUT University; 2006)
    We present a novel split and merge based method for dividing a given metric map into distinct regions, thus effectively creating a topological map on top of a metric one. The initial metric map is obtained from range data ...
  • Wong, C.; Yeap, W.; Schmidt, J. (IEEE, AUT University; 2006)
    This paper presents a novel algorithm for computing absolute space representations (ASRs) [1]-[2] for mobile robots equipped with sonar sensors and an odometer. The robot is allowed to wander freely (i.e. without following ...
  • Yeap, W. (AAAI, AUT University; 2007)
    Most models of cognitive mapping would suggest that the process begins by constructing some form of a structural representation of the environment visited. From the latter representation, one develops a conceptual view of ...
  • Ho, H.; Min, K.; Yeap, W. (Springer, AUT University; 2004)
    This paper describes a knowledge-poor anaphora resolution approach based on a shallow meaning representation of sentences. The structure afforded in such a representation provides immediate identification of local domains ...
  • Schmidt, J.; Wong, C.; Yeap, W. (Springer, AUT University; 2007)
    When animals (including humans) first explore a new environment, what they remember is fragmentary knowledge about the places visited. Yet, they have to use such fragmentary knowledge to find their way home. Humans naturally ...
  • Jefferies, M.; Cosgrove, M.; Baker, J.; Yeap, W. (Springer, AUT University; 2004)
    In Simultaneous Localisation and Mapping (SLAM) the correspondence problem, specifically detecting cycles, is one of the most difficult challenges for an autonomous mobile robot. In this paper we show how significant cycles ...
  • Yeap, W.; Wong, C.; Schmidt, J. (Springer, AUT University; 2008)
    This paper describes using a mobile robot, equipped with some sonar sensors and an odometer, to test navigation through the use of a cognitive map. The robot explores an office environment, computes a cognitive map, which ...
  • Jefferies, M.; Yeap, W.; Cosgrove, M.; Baker, J. (Springer, AUT University; 2005)
    In simultaneous localisation and mapping (SLAM) the correspondence problem, specifically detecting cycles, is one of the most difficult challenges for an autonomous mobile robot. In this paper we show how significant cycles ...
  • Yeap, W.; Reedy, P.; Min, K.; Ho, H. (IEEE, AUT University; 2005)
    We implemented SmartINFO, an experimental system for the visualization of the meaning of texts. SmartINFO consists of 4 modules: a universal grammar engine (UGE), an anaphora engine, a concept engine and a visualization ...

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