Bin picking is a key topic for automation in intralogistics. Festo solutions enable you to grip random objects of different shapes and sizes fully automatically. Set a new benchmark in the efficiency of your intralogistics with innovative artificial intelligence. With our modular bin-picking solutions, you can master even complex pick-and-place applications flexibly, safely and reliably.
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GripperAI – Intelligent Gripping with Artificial Intelligence
GripperAI is an innovative software solution from Festo that has been specially developed for bin picking. It enables bin-picking robots and handling systems to pick up disorganized objects of different shapes precisely and flexibly. Thanks to artificial intelligence, the solution learns autonomously, adapts flexibly to new tasks, and thus optimizes the efficiency of your intralogistics. GripperAI can be easily integrated into existing automation environments. Get an overview of the most relevant aspects and interesting insights in our White Paper.
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Arquemino Lopes Junior, Industry Segment Manager Intralogistics at Festo, spoke about the importance of bin picking and how this function improves efficiency and flexibility in intralogistics.
Optimize your intralogistics with data-based decisions: The Festo Automation Experience (Festo AX) software uses artificial intelligence to extract the full added value from your system data. This increases productivity and prevents quality losses.
Bin picking refers to the automated removal of objects from bins using robots and gripper systems. This technology is used particularly in intralogistics and enables the precise gripping and further processing of disordered objects of different shapes and sizes. Cameras, sensors and often artificial intelligence work together to recognize the position and orientation of objects. Bin picking optimizes the material flow and reduces manual work, which increases efficiency and reduces costs.
"Bin picking" describes the automated removal of disordered objects from a container using robots and grippers. "Bin picking" can be imagined as "reaching into the box", and includes technologies that use cameras and sensors to recognize the position and orientation of objects. This enables precise and flexible handling in intralogistics without having to sort the objects beforehand.
Bin picking uses cameras and sensors, often combined with artificial intelligence, to recognize the position and orientation of disordered objects in bins. The robot calculates the optimum gripping point and removes the objects safely and precisely. This technology automates the process and increases the material flow by working reliably even with different object shapes.
Bin picking automates the removal of objects directly from bins and relieves manual processes. This increases efficiency, reduces errors and increases flexibility in the material flow. AI-supported systems allow even complex tasks to be carried out quickly and precisely, which significantly increases productivity in warehouse logistics.
Artificial intelligence enables bin-picking systems to reliably grip unknown objects without the need for extensive programming. AI algorithms recognize the shape and position of the objects and automatically adapt the gripping process. This allows the systems to adapt dynamically to changing tasks and increases flexibility in operation.
Different types of grippers are used for bin picking, such as vacuum, parallel and adaptive grippers. The selection depends on the shape and material of the objects. Modern systems can automatically switch between gripper types, providing a flexible solution that adapts to different requirements and ensures safe, damage-free handling.
Bin picking is particularly advantageous in warehouse logistics, the automotive industry, electronics manufacturing and e-commerce. These industries benefit from the ability to retrieve a wide variety of objects automatically and flexibly, which reduces workload, increases efficiency and at the same time ensures a high degree of flexibility in the process.
The adaptive shape gripper DHEF is based on natural principles and is able to securely grip and release workpieces of different shapes and sizes – even on people. It is ideal for gripping parts with undefined positions and shapes, since it grips objects with variable geometries with a positive fit. A particular advantage is the suction cup effect, which provides additional stability. Thanks to its gentle gripping action, the DHEF is particularly gentle on delicate products. The RA1 version also enables quick integration into lightweight robot environments and facilitates automation.
The adaptive gripper finger DHAS enables particularly gentle gripping, low-vibration transportation and shock-free depositing of products. Thanks to the Fin Ray Effect®, inspired by the structure of a fish tail fin, the gripper finger adapts automatically to different object shapes. This makes it ideal for sensitive materials and surfaces. The DHAS can grip objects with diameters from 6 to 120 mm securely and flexibly, making it a versatile solution for numerous applications.