May 7 – 13 in Düsseldorf
Where: In Hall 6, booth B09
INNOVATION
Our new, innovative case packer series offers maximum flexibility, minimal changeover times, and high performance
all at an attractive price-performance ratio.
May 7 – 13 in Düsseldorf
Where: In Hall 6, booth B09
INNOVATION
Our new, innovative case packer series offers maximum flexibility, minimal changeover times, and high performance
all at an attractive price-performance ratio.
Collaborative palletizing robot CoPal AV20
The collaborative palletizing robot CoPal AV20 presented by Paal A+V in cooperation with Estun and Botfellow at the Fachpack trade fair in Nuremberg, attracted a great deal of interest at the show.
The focus was on pallet heights of up to 1930 mm (CoPal AV20 fix) and 2430 mm (CoPal AV20 flex), quick assembly and the innovative safety system with seamless human-robot collaboration.
Even though collaborative robots do not generally require a safety zone, more and more customers are starting to use safety systems, especially for robot activities in the head area.
The dynamic virtual safety solution of the CoPal AV20 does not require a protective fence. Humans and robots can work in the same workspace. Advanced sensor technology and a new motion control technology ensure true collaborative working.
SAVE THE DATE!
Warm invitation to Fachpack 2025 in Nuremberg.
Where? Nuremberg Fair, hall 3C, booth 430
When? 23. – 25. September 2025
Join us and be inspired. We look forward to your visit!
Our partner ATP in Barcelona is hosting an in-house exhibition at its headquarters in Barberà del Vallès from 4 to 6 February 2025, and we would be delighted to welcome you.
The event will feature high-performance picker lines in live operation, showcasing the latest in packaging technology.
If you’re interested or have any questions, feel free to contact us – we look forward to hearing from you!
PUBLICATION: LEBENSMITTEL TECHNIK
Claus Paal: “Designing increasingly complex machines may be easier – but not necessarily smarter. Technology must remain manageable for the user.”
Discover self-learning AI sensors that detect and predict multiple anomalies in machines at an early stage – enhancing efficiency, increasing safety, and helping prevent costly breakdowns.
(Video available in German)