
Electricity and compressed air without the mess
Afag is expanding the equipment of its CR rotary module series with a combined centric rotary feed-through for compressed air and electrical signals.
Articles and background information on the topic

Afag is expanding the equipment of its CR rotary module series with a combined centric rotary feed-through for compressed air and electrical signals.
Three-finger gripper from OnRobot

OnRobot launches its first three-finger gripper: The electric 3FG15 is an alternative to conventional, pneumatically operated three-finger grippers.

IEF-Werner has developed a palletizing system for a customer that consists of a loading and an unloading system. The special feature: The trays are synchronized with an MES system via RFID tags and the products in them via barcodes.
Condition monitoring systems detect changes and anomalies in the production process. They monitor the stability of the production process and ensure consistent quality control. Gripping systems and clamping devices are becoming increasingly important in this context.
In order to help additive manufacturing technology achieve a breakthrough in industry, new, robust and wear-resistant printing materials will be required in addition to high-performance 3D printers in the future.
Collaborating robots support the automation of manual work. Cobots from Universal Robots are already easy to program; combined with VeriSens vision sensors, they are suitable as a simple solution for vision-guided robotics applications.

Dahl Automation has been part of the Hahn Group since March 27, 2020. The acquisition expands Hahn's portfolio in the fields of robotics and intralogistics.
The Soft Gripper from OnRobot can also handle delicate food automatically. This is made possible by three interchangeable silicone attachments.

Aero-Lift heavy-duty lifting devices
The Aero-Lift devices lift loads of up to 60,000 kilograms and more with ease and without damaging the material. Accuracy and precision are particularly important for turbines, pipes, aircraft or ship parts.

In everyday life, we naturally use our hands for various tasks. It makes sense to equip robots in collaborative workspaces with a gripper that is based on this natural model and can learn through artificial intelligence.