Automated bin picking is a major challenge in companies that manufacture a wide variety of products in small lot sizes. Despite their steadily growing automation, many bin picking scenarios still require manual action, be that when handling packaging materials, when parts catch or are reflective or when a bin has to be emptied completely. Cost-effective automation of these processes is growing more important in these times of demographic change and growing skilled labor shortage. Fraunhofer IFF’s research project Adaptive Robotics for Robust Bin Picking and Precise Machine Tending ADAPT comes into play exactly here. The objective is the development of AI-assisted bin picking solutions that can detect, pick and place parts reliably and precisely—even under challenging conditions.
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