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Random mixed depalletizing.

Inbound pallets are rarely perfect. Different box sizes, unknown layer patterns, and unstable stacks. AWL’s random mixed depalletizing solution is designed for unpredictability: automated depalletizing without predefined pallet layouts.

overview

What is robotic depalletizing?

Random mixed robotic depalletizing enables the automated pallet unloading of products in varying sizes, shapes, materials, orientations, and stacking patterns, without prior knowledge of the pallet structure.

 

By integrating robotic depalletizing with AI-driven vision systems, mixed products can be reliably identified, picked, and placed, from cartons to sealed items. The result is a stable and repeatable inbound flow.

Challenges

Common operational hurdles

High labor depedency

Unpredictable pallet content

Throughput instability

Safety and ergonomics issues

Solution

System approach to these challenges

AWL’s random mixed depalletizing solution is built as a coordinated system. The solution combines perception, decision-making, and controlled motion to handle each pallet layer as it appears. Instead of assuming order, the system continuously assesses what is present and selects the best next pick.

Design principles include:

  • Designing for variability, picking cartons, picking sealed items, and removing obstruction objects.
  • Prioritizing stable flow up to 850 picks per hour.
  • Integrating smoothly with your downstream conveyors, buffers, sortation systems, or AMRs.
Approach

A proven approach to robotic automation

The success of robotic automation depends on more than the technology itself. The way requirements are defined, engineering decisions are made, and systems are supported after commissioning all influence long-term operations performance.

Bringing together expertise across engineering, integration, commissioning, and support helps create solutions that perform reliably in operation.

Results

Benefits to your operation

Reduced manual labor

More consistent throughput

Improved scalability

Customer experiences

Robotic automation that performs

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''We're still learning and the team is still getting more comfortable with it, but at the end of the day we really starting to see the productivity, the benefits that we were expecting.''

Bill Monk, Vice President of Distribution at GNC

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“The first results are positive, and the team is pleased with the solution. They only need to feed the parcels into ROSI and no longer worry about them.”

Tom Hartmans, Project Lead at GLS

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Environments in which we apply this solution

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