“In the field of robotics and fully automated picking solutions, Roboception complements our portfolio with powerful sensor components. Particularly when looking at the constructive, efficient collaboration of our teams, we look forward to a further successful cooperation.“

Markus Winkler
Head of Advanced Technology at TGW Logistics Group

3D Vision Enables Automated Picking in Logistics Automation

How a 'pre-series' 3D vision product became a core component of an award-winning intralogistics solution, the TGW Pick Center 'Rovolution'

In distribution and fulfillment, one of the major challenges for automated picking processes is the constant flow of varying items. In addition, they typically need to be handled under demanding time constraints. The TGW Pick Center ‘Rovolution’ relies on the rc_visard 3D vision sensor – and has become an award-winning benchmark in (intra)logistics automation.

The Project: No Less Than a Game-Changer

TGW was tasked to develop a system for automated picking for the distribution business. Key challenges were the required speed of such a system, and also the huge quantity and diversity of the products to be detected and handled. The wide variety of different product shapes and packaging types made finding the right vision solution a key success factor.

From the very beginning, the team worked with two rc_visard 160 in a stationary set-up as their 3D vision component. In addition to the sensors, Roboception delivered an individual software solution, specifically tailored to the perceptions tasks at hand.

A Remarkable Collaboration

“The rc_visard 160 is just the right product for us, in terms of 3D vision performance and also regarding the cost/benefit ratio. We focused on  detection capabilities and data quality as well as the support and service during the development phase. All of this we got from Roboception.”

Even in the early stages, when the rc_visard was still in a ‘pre-series’ status and the software still under development, the TGW team could rely on the quality of the products, which has always been highly satisfactory.

Furthermore, the TGW team particularly appreciated that at all times, all components were thoroughly tested and clearly documented. This significantly simplified and propelled the development process.

“The Roboception team has been easy to work with and is very responsive: They literally became part of our development team.

They have gained such a deep understanding of our automated picking application that they were able to proactively provide us with highly constructive input and suggestions for improvement – even without our request."

Markus Winkler
Head of Advanced Technology at TGW Logistics Group GmbH

An Award-Winning Result

At the 2019 German Innovation Award‚Rovolution‘ was recognized with a gold award in the B2B category ‘Logistics & Infrastructure’.

Only a few months prior, it has also been awarded the 2018 Austrian Robotics Award. Both of these awards underline the fact that this innovative solution is a true game-changer when it comes to automated picking in logistics automation – and the Roboception team is proud to be a part of it!

See the TGW Pick Center Rovolution video on YouTube…

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About TGW Logistics Group

The TGW Logistics Group with its headquarters in Marchtrenk (Upper Austria) is a leading international provider of intralogistics solutions. TGW plans, implements and maintains highly automated, efficient and future-proof fulfillment centers around the World – solving customers’ supply chain challenges along the way. The foundation-owned company currently has more than 4,400 employees on three continents.

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Sensor: rc_visard 160m

The necessary detection capabilities and performance, coupled with an attractive cost/benefit ratio, as well as the high level of service of the Roboception teams were considered when TGW selected the rc_visard 160.

Individual Software Design

When a customer is looking for an application as specific as this one and none of the off-the-shelf modules comply with it, Roboception’s vision experts are able to develop individual software components

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