Engineering precision: How Yango Tech Robotics brought human-like AI picking to LogiMAT 2025

Picking is inherently messy. It involves unpredictable packaging formats, deformable materials, unstructured bins, and changing product lines. Traditional robotic automation - reliant on pre-programmed rules, barcode-dependent logic, and structured setups - simply can’t adapt fast enough.

Yango Tech Robotics approaches the problem differently: By focusing on the practical application of AI, modeled after how skilled human workers make decisions in real time.

To do this, our picking systems combine:

• Custom-built computer vision models trained on warehouse-specific visual data
• Force/torque sensing for real-time grip adjustment
• Multimodal item recognition including 2D/3D vision, weight profiling, and packaging inference
• Contextual decision trees driven by learned behaviors from real-world picking scenarios

At LogiMAT 2025, Yango Tech Robotics demonstrated its AI-powered pick-and-place system operating in a putwall configuration - one of the most demanding scenarios for robotic precision, classification, and dynamic task switching.

Visitors saw the robot execute complex tasks in real time:

• Picking from mixed SKU totes - including polybags, boxes, and irregular shapes
• Accurate placement into individual putwall compartments, mapped via WMS
• Real-time barcode and visual ID recognition, even from low-visibility angles
• Dynamic item classification and sorting based on destination logic

This setup allowed us to showcase not just dexterity, but true task awareness: Understanding what to pick, where to place it, and how to do both safely and efficiently - with zero manual intervention.

The robot adjusted grip and placement strategy autonomously, interpreting weight distribution, deformability, and compartment size with no preprogrammed paths. It wasn’t just picking and placing - it was executing fulfillment logic, live.

• Scan rate: 15,000+ pallets/hour
• Vision coverage: 360°, including under reflective film
• Accuracy: >99% item identification and pick success in production settings
• Warehouse coverage: 20,000 m² in 2 hours (when paired with our inventory tracking system)

System integrators at LogiMAT were particularly interested in our plug-and-play architecture - a flexible, software-first approach that separates us from many hardcoded robotic solutions.

Our system integrates easily via:

• Standard APIs for WMS/WES compatibility
• Edge deployment for real-time vision processing without cloud lag
• Open protocols for conveyor sync and zone-based orchestration
• Robust safety stack aligned with ISO 10218 and ANSI/RIA R15.06 standards

No extensive infrastructure redesign. No vendor lock-in. Just smart, scalable automation that fits into real-world operational constraints.

Warehouse decision-makers aren’t looking for science fiction. They’re looking for throughput, uptime, safety - and ultimately, systems that behave more like people, without people’s limits.

That’s why interest in Yango Tech Robotics at LogiMAT wasn’t about the robot arm. It was about what the system understood.

• It understood how to distinguish a squishy polybag from a rigid box
• It understood when to pick with one point of contact and when to stabilize
• It understood that real warehouses don’t follow rules - and that automation shouldn’t either

We also shared case studies from current deployments across Europe and the Middle East, where our picking systems are operating in:

• Dark stores and micro-fulfillment centers
• Multi-tenant 3PL hubs with high SKU volatility
• E-grocery operations requiring precise handling of fragile or temperature-sensitive goods

In these environments, our robots are operating continuously with uptime >99%, accuracy >99%, and ROI cycles measured in 2.5 to 3 years, depending on site complexity.

LogiMAT 2025 confirmed what we already knew: Automation can’t stop at movement. It has to understand the task.

Yango Tech Robotics is delivering robotic systems that pick like skilled humans - but with consistency, scale, and adaptability only machines can achieve. And we’re doing it without forcing warehouses to rebuild from scratch.

If you're an integrator, warehouse operator, or technology leader looking for robotics that think, not just lift - we’d love to talk.