Intelligent robots have been increasingly used in unstructured and unknown environments rather than being limited in well-controlled settings. The key to successful autonomous robot operations in such environments is to combine robot manipulation ...
To automatically classify biological images, machine learning techniques have been widely used to train the classifiers from labeled images. For a new category of biological object, a tedious and expensive labeling process is needed from a human e...
Automatic identification and pose estimation of a target object through robotic perception is necessary for many robotic tasks, such as object manipulation, scene reconstruction and view planning. However, general object recognition and pose estim...
Recent work in image manifold learning has shown the prevalence of unsupervised methods that provide compact representation and perceptually meaningful organization of images in certain types of natural image sets. However, in situations where a d...
