Vision-based bin picking system for industrial robotics applications

Abstract

The vision-based bin picking using object recognition has been considered as an innovative manufacturing process in industrial robotics applications. In bin picking system, pick and place tasks are performed by robot which has been processed by measuring object pose. But it has to address challenge problems such as object appearance distorted by overlapping parts, lighting variation or reflection, picking from randomly piled parts in a bin. This research is to investigate a vision-based bin-picking method, which provides a robust and efficient method to recognize object and to estimate pose with multiple vision sensors.