LogiMAT 2026 | Events

Mobile Robotics for Smarter Intralogistics – Experience the SOTR Series

Warehouses and factories today demand flexibility, scalability, efficiency, and a clear path to ROI. At LogiMAT 2026, Daifuku brings you the best of both worlds:

Our proven solutions—including AS/RS, STVs, and other conventional systems—backed by over 85 years of expertise.
Our latest innovation, the Sorting Transport Robot (SOTR) Series, designed to deliver a truly adaptable approach to intralogistics.

Whether you’re handling piece items, cases and totes, or pallets, the SOTR Series integrates mobile robotics into your operations for maximum efficiency and agility.

At our booth, you’ll see models of the SOTR-S and SOTR-L, along with a live demo of the SOTR-M in action. Join us at Hall 1, Booth 1J67, alongside our partner ULMA Handling Systems, and explore how Daifuku’s modular and hybrid solutions can transform your workflow and deliver a more efficient tomorrow.

Why Choose the SOTR Series?

—Modular Design: Configure systems to fit your unique workflow.
—Hybrid Integration: Combine mobile robotics with long-standing automation technologies for optimized performance.
—Scalable Solutions: Grow your automation as your business evolves.
—Operational Efficiency: Reduce bottlenecks and improve throughput.

A high-speed piece sorting robot capable of handling thousands of items per hour, perfect for e-commerce and retail operations requiring rapid and accurate sortation in compact spaces.

The SOTR-M is the case and tote handling version of our SOTR series. Ideal for e-commerce, retail, and manufacturing environments, the system remove the need for masses of fixed conveyor, providing flexible and efficient material transport and sorting. It can transport cases, totes, and other containers for picking operations in a distribution center and between manufacturing processes in a factory.

A mobile robotic solution designed for pallet handling, ideal for heavy-duty transport in warehouses and distribution centers where flexibility and space optimization are critical.