Browsing Intelligent Robotics Group by Author "Sheldon, Michael"

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  • Wilson, James; Geng, Tao; Sheldon, Michael; Hülse, Martin; Lee, Mark (2010-11)
    This paper describes a prototype robot grasping system that uses human grasping synergies and a self-organizing map to learn object affordances. The bio-inspired design of the system is presented as well as some of the ...
  • Sheldon, Michael; Lee, Mark (2010-08-18)
    This paper reports on a developmental approach to the learning of communication in embodied agents, taking inspiration from child development and recent advances in the understanding of the mirror neuron system within the ...
  • Sheldon, Michael; Lee, Mark (2011-11-21)
    In this paper we introduce PSchema, a framework for Piagetian schema learning which allows for the direct use of symbolic schema learning in a robotic environment. We show the benefit of a developmental progression to aid ...

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