Qualitative review of object recognition techniques for tabletop manipulation

Abstract

This paper provides a qualitative review of different object recognition techniques relevant for near-proximity Human- Robot Interaction. These techniques are divided into three categories: 2D correspondence, 3D correspondence and nonvision based methods. For each technique an implementation is chosen that is representative of the existing technology to provide a broad review to assist in selecting an appropriate method for tabletop object recognition manipulation. For each of these techniques we give their strengths and weaknesses based on defined criteria. We then discuss and provide recommendations for each of them.