AI-POWERED DEPALLETIZING
Unload Any Pallet. Any SKU. Zero Pre-Programming.
RobotDepalr is the AI-powered depalletizing module that handles inbound pallets without rule-based programming. It identifies every product on every layer, determines the optimal pick sequence, and generates collision-free robot paths — for mixed-SKU pallets, single-SKU pallets, and anything in between. Powered by StackrBrain AI for intelligent pick sequencing across any robot brand and any gripper type.
COMPATIBLE WITH
One AI Solution for Every Depalletizing Challenge — Mixed SKUs, Multiple Layers, Unknown Products.
Traditional depalletizing systems are built on rules. They expect a known SKU, a known pallet pattern, and a pre-programmed pick sequence. The moment your inbound pallet contains mixed products, irregular layers, or items the system has never seen, those rules break and the line stops. RobotDepalr was built differently — every product is identified individually by AI, every pick sequence is reasoned about from scratch, and every robot path is planned to be collision-free, no pre-teaching required.
INTELLIGENT PICK SEQUENCING
From Top Layer to Bottom. Every SKU. Correct Order.
RobotDepalr does not just pick whatever is on top. It reasons about the entire pallet — which products are present on each layer, how they are stacked, what order they should be removed in, and how that affects the stability of everything that remains. The result is a pick sequence that is fast, safe, and respects the physical reality of the pallet.
- ✓ Automatic layer detection from 3D scan data
- ✓ Sequence optimization for cycle time and pallet stability
- ✓ Fragility rules respected per SKU
- ✓ Real-time pallet stability monitoring as items are removed
- ✓ Weight distribution awareness across remaining layers
Mixed SKU
No Pre-Teaching Required
Any Robot
Brand-Agnostic Integration
<2s
Pick Cycle Planning
Layer-Aware
Stability Monitoring
DEPAL-TO-PACK AUTOMATION
The Only Software That Unloads AND Repacks in One Workflow
RobotDepalr is the depal counterpart to RobotStackr OTF — and they are designed to work together. Combined, they create a full depal-to-pack workflow on a single AI platform: incoming pallets get unloaded by DepalR, and items flow directly into OTF for repacking into the target carrier. Roll cages, totes, customer pallets, mixed cases — whatever the outbound configuration, one integration handles both ends of the line.
“Traditional systems need two separate integrations. Viroteq does both — from pallet to carrier — with one AI platform.”
MIXED SKU RECOGNITION
Identify Every Product on Every Layer
DepalR identifies every product on every layer of an inbound pallet automatically — no SKU databases, no barcode lookups, no pre-loaded CAD models. The system reasons about each item from the live 3D scan, segments it from its neighbors, and classifies it in real time. Mixed SKUs, unfamiliar packaging, layers that change between pallets — DepalR handles all of it without operator intervention.
How DepalR Unloads a Mixed Pallet
01
Pallet Arrives
An inbound pallet — Euro, GMA, or custom — arrives at the depalletizing station, ready for unloading. No barcode scan or SKU lookup is required.
02
3D Vision Scans Top Layer
A 3D camera captures a point cloud of the current top layer of the pallet, giving DepalR a precise view of every product surface available to pick.
03
AI Identifies Every Product
StackrBrain AI segments and classifies every individual product on the layer — even mixed SKUs and items it has never encountered before.
04
Optimal Pick Sequence Generated
DepalR ranks every pickable item by accessibility, fragility, weight, and stability impact, then generates the optimal pick order for the layer.
05
Collision-Free Path Planned
For each pick, the system plans a collision-free robot trajectory that respects pallet geometry, neighboring items, gripper shape, and cell obstacles.
06
Robot Picks & Places
The robot executes the plan — picking, transporting, and placing the item. Once the layer is cleared, DepalR rescans and the cycle repeats from the new top layer.
Mixed-SKU depalletizing breaks every rule-based system. StackrBrain reasons about each product individually — it doesn’t need to have seen it before.
— Viroteq Engineering Team
Any Robot. Any Gripper. Any Pallet.
Robot Brands
- • FANUC
- • ABB
- • KUKA
- • Universal Robots
- • Yaskawa
- • Stäubli
- • Custom integrations via REST API
Gripper Types
- • Vacuum (single-zone)
- • Vacuum (multi-zone)
- • Clamp
- • Fork
- • Hybrid
- • Custom EOAT support
Pallet Configurations
- • Euro pallets
- • US pallets (GMA)
- • Mixed-SKU layers
- • Single-SKU layers
- • Stretch-wrapped
- • Interleaved with dividers
See Mixed-Pallet Depalletizing in Action
Book a live demo and watch RobotDepalr unload a mixed-SKU pallet from scratch — no SKU lists, no pre-teaching, no rule editing. Our engineers will walk you through the full cycle: 3D scan, AI identification, sequence planning, collision-free path generation, and robot pick — using sample products that match your real-world use case.
Frequently Asked Questions
Explore Related Products
RobotStackr OTF
The repacking counterpart to DepalR. Combine OTF with DepalR for full depal-to-pack workflows — incoming pallets unloaded, outgoing carriers built in the same AI-driven cycle.
RobotStackr Vision
Real-time 3D scanning that feeds DepalR with the precise point clouds it needs to identify products and plan picks. Most DepalR deployments use Vision as their primary 3D input.
StackrBrain AI
The AI engine inside DepalR. StackrBrain is trained on millions of simulated scenarios and reasons about products, layers, and pick sequences in real time — for both depalletizing and palletizing workflows.
Ready to Automate Your Depalletizing?
If your inbound pallets contain mixed SKUs, irregular layers, or products that change every shift, RobotDepalr replaces the rules with AI. Talk to our team about how DepalR fits into your inbound, cross-docking, or depal-to-pack workflow — and how fast you can be running on production data.
