Robotics in a Split Second: How Modern Grippers Are Transforming Packaging
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A smart, state-of-the-art gripper, a useful tool in production. Photo: KJ Brix
Robotics in a Split Second: How Modern Grippers Are Transforming Packaging
Reading Time: 2 Minutes / Published: 20.08.2026
Whether fragile biscuits, delicatefruit, or sensitive pharmaceuticalproducts, millisecondscanmake the differencebetweenquality, efficiency, and waste in today'spackagingindustry. Companies such as the Schubert Group demonstratehow modern robotics and adaptive grippersaremeetingthesechallengesthroughfinelytunedmechanics, intelligent sensors, and systemsthatareincreasinglycapable of "feeling" and "seeing."
In highly automated packaging lines, processes take place at breathtaking speed: products are sorted, aligned, and packaged, often several hundred times per minute. At the same time, requirements are growing. Consumer goods are becoming increasingly individualized and, in many cases, more delicate. This is particularly evident with products such as biscuits or fresh fruit, where even minimal differences in pressure can result in products that are no longer saleable.
Different technologies are employed depending on the product. Lightweight baked goods such as biscuits are usually picked up using vacuum suction, while mechanical grippers are primarily used for heavier or more difficult-to-handle products such as cakes or croissants.
Precision and Speed: Robotics Takes Center Stage
Solutions for thesechallengesareincreasinglybeingdriven by modern robotics. Oneexampleisprovided by the internationallyactive Schubert Group, headquartered in Crailsheim, Germany. Founded in 1966 as a manufacturer of packagingmachines, the family-ownedcompanyisnowregarded as a pioneer in the integration of roboticsolutions.
From Rigid to Adaptive: The Evolution of Gripping Systems
Traditional grippers operate according to fixed standards: predefined shapes, specified gripping forces, and limited flexibility. In an increasingly dynamic production environment, however, this is often no longer sufficient.
Adaptive grippers open up new possibilities. By combining flexible materials with highly precise mechanical components, they can adapt to different shapes, surfaces, and materials. As a result, products can be handled much more gently. At the same time, line flexibility increases significantly, a crucial factor in markets characterized by high product variety.
Haptic Intelligence: Machines Learn to “Feel”
Another major innovation lies in the integration of tactile sensors that measure pressure, contact, and resistance while continuously feeding data to the control system. Combined with intelligent algorithms, this creates a form of "haptic intelligence."
For example, the gripper can determine how sensitive a product is, how much force may be applied, and whether an object has been securely grasped. Adjustments are made almost in real time, reducing product damage and enabling higher throughput rates.
Seeing, Recognizing, Reacting: The Use of 3D Vision
In addition to "feeling," the ability to "see" is becoming increasingly important. Modern 3D vision systems capture products in real time, even when they are randomly positioned on a conveyor belt.
The combination of image processing and sensor technology enables precise identification of product position and orientation, dynamic adjustment of gripping points, and reliable operation even when product shapes vary.
This interplay of multiple data sources is considered a key building block of modern packaging robotics. Companies such as Schubert integrate these technologies directly into their packaging machines with the aim of creating fully integrated systems. Typical applications include delicate confectionery and baked goods, fresh foods with variable shapes, and pharmaceutical products with stringent safety requirements.
Innovation and Integration: Where Is Robotics Headed?
As promising as these technological advances may be, implementing them in practice remains challenging. Adaptive gripping systems must integrate seamlessly into existing production lines, process large volumes of data in real time, and remain economically scalable.
At the same time, the demand for qualified specialists continues to grow, both in system development and in daily operations.
Nevertheless, the pace of innovation remains high, driven by artificial intelligence, enhanced sensor technologies, and increasingly capable self-learning systems. Future robotic solutions will be able to adapt even more independently to new products and production requirements, ultimately leading to fully adaptive packaging lines.
Companies such as Schubert are already working on such concepts today and view them as a key lever for the future of the industry.