Robots have to face challenging perceptual settings, including changes i...
We systematically compare and analyze a set of key components in unsuper...
Estimating the 3D pose of desktop objects is crucial for applications su...
Point Pair Features is a widely used method to detect 3D objects in poin...
Deep Learning methods usually require huge amounts of training data to
p...
Instrumenting and collecting annotated visual grasping datasets to train...
We present an application of hierarchical Bayesian estimation to robot m...