Learning Novel Objects for Extended Mobile Manipulation


We propose a method for learning novel objects from audio visual input. The proposed method is based on two techniques: outof-vocabulary (OOV) word segmentation and foreground object detection in complex environments. A voice conversion technique is also involved in the proposed method so that the robot can pronounce the acquired OOV word intelligibly. We… (More)
DOI: 10.1007/s10846-011-9605-1


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