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This book provides the background and introduces a practical methodology for developing autonomous camera-equipped robot systems which solve deliberate tasks in open environments based on their competences acquired from training, interaction, and learning in the real task-relevant world; visual demonstration and neural learning for the backbone for acquiring the situated competences. The author verifies the practicability of the proposed methodology by presenting a structured case study including high-level sub-tasks such as localizing, approaching, grasping, and carrying objects.
This book constitutes the refereed proceedings of the 7th
International Conference on Computer Analysis of Images and
Patterns, CAIP '97, held in Kiel, Germany, in September 1997.
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