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Robotic Waste Sorter with Agile Manipulation and Quickly Trainable Detector
Via experiments in an indoor experimental workplace for waste-sorting, we confirm that the proposed methods enable quick collection of the training image sets for three classes of waste items (i. e., aluminum can, glass bottle, and plastic bottle) and detection with higher performance than the methods that do not consider the differences.
Multi-View Inpainting for RGB-D Sequence
For the left holes, we employ exemplar based multi-view inpainting method to deal with the color image and coherently use it as guidance to complete the depth correspondence.
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