We have designed an anthropomorphic robot system at our institute as a research platform and demonstrator for the next generation of sevice robots. GripSee is a visually guided robot which is endowed with a number of skills based on different neural network architectures. The skills include the interpetation of human gestures, localization and recognition of objects, planning and generation of grasping movements, and automatic calibration of the eye-hand coordination. This paper gives an overview of the system and reports on our experiences in applying diverse neural netowrk architectures in a real robot.
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