LogiMAT 2026 was a landmark moment for autonomous logistics. Across the halls of Stuttgart's Messe, one piece of hardware kept reappearing at the heart of the most advanced robotic cells on the floor: the Zivid 3D cameras.
The Zivid 2+ and 2+ R-Series capture true-to-reality point clouds - including shiny packaging, transparent bottles, and bubble wrap. Their built-in 2D camera, optimized for AI segmentation, eliminates the need for external 2D hardware, simplifying robot cells and significantly reducing integration time.
Seven Zivid partners and system integrators stepped up at LogiMAT with live demos spanning piece-picking, bin-picking, palletizing, and beyond. Here's what we saw:
Nomagic - Piece picking
Nomagic turned heads with a high-speed piece-picking cell targeting one of e-commerce's most recognizable objects: the humble shoebox. Their robot — powered by Zivid 3D vision — rapidly identified, grasped, and placed shoeboxes with the kind of consistency and speed that makes manual picking look slow by comparison. The demo highlighted how accurate 3D point clouds translate directly into fewer mispicks and higher throughput on order-fulfillment lines.
Camera used: Zivid 2+ MR130
Siemens - Intralogistics
Siemens showcased their SIMATIC Robot Pick AI platform in a live intralogistics scenario: a conveyor belt loaded with a diverse mix of e-commerce objects, with a robot picking items accurately on the fly. The integration of Zivid's structured-light 3D imaging with Siemens' industrial AI demonstrated how enterprise-grade robotics and machine vision converge on the warehouse floor — combining Siemens' deep automation ecosystem with Zivid's true-to-reality point clouds to handle mixed-SKU items without hesitation.
Camera used: Zivid 2+ LR110
Solwr - Mobile robot
Norwegian robotics company Solwr brought their Grab mobile robot to LogiMAT — and it stole the show with its depalletizing capability. The robot navigated autonomously to a pallet source, used Zivid 3D vision to perceive and grasp bottle boxes and cardboard boxes, and placed them precisely onto a target pallet. The demo illustrated how mobile manipulation, guided by accurate 3D perception, can eliminate fixed infrastructure in distribution centers — bringing flexibility to environments where conveyor-based systems simply are not feasible.
Camera used: Zivid 2+ LR110
PSB - Integrated solution
PSB Intralogistics presented a comprehensive vision of what modern warehouse automation looks like end-to-end. At the center of their booth was autopick, their AI-supported picking robot, operating within a fully integrated system spanning warehouse technology, conveyor infrastructure, and software control. The robot's perception is powered by Siemens' SIMATIC Robot Pick AI software combined with Zivid 3D vision — the same AI picking software Siemens demonstrated in their own booth, here embedded within PSB's broader intralogistics solution. For anyone evaluating full-stack intralogistics automation, PSB's demo offered a compelling blueprint of how best-in-class components come together into a production-ready system.
Camera used: Zivid 2+ M130
AWL - Singulation
AWL demonstrated their ROSI robot singulator cell — a system designed to tackle one of logistics' most persistent bottlenecks: transforming a tangled heap of items into a neat, singulated stream ready for downstream processing. ROSI uses Zivid 3D cameras to perceive the chaotic pile, identify the best grasp point for each item, and separate them one by one with precision. The result is a robot cell that can feed sorters, scanners, and conveyors at consistent throughput, regardless of how items arrive.
Camera used: Zivid 2+ L110
Fraunhofer - Bin packing
Fraunhofer brought a dual-camera robot cell to LogiMAT, running their piece-picking software against a bin loaded with common e-commerce items. Two Zivid 2+ cameras provided overlapping coverage of the bin, giving the system richer 3D data and improved grasp-point estimation — particularly useful for items prone to occlusion or challenging surfaces. The pick-and-place sequence moved items fluidly between bins, demonstrating both the robustness of Fraunhofer's software and the data quality improvements the R-Series delivers over prior-generation cameras.
Camera used: Zivid 2+ M130
Heldele - Bin picking
Heldele rounded out the Zivid showcase with an elegant single-camera bin-picking solution. Using one Zivid 2+ R-Series camera and Siemens SIMATIC Robot Pick AI software, their robot cell picked and placed a variety of cardboard items from a bin — demonstrating that you don't always need complexity to achieve reliable performance. The demo was a strong reminder that for many warehouse applications, a well-configured single-camera setup with high-quality 3D data is exactly what's needed to hit production-grade pick rates.
Camera used: Zivid 2+ MR130
Would you like to know what Zivid can do for your logistics application? Book a free demo with our vision engineers.
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