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Embodied Innovation and Full-Stack Efficiency: Geekplus Moves Toward 24/7 Autonomous Warehouses

Gravity's body model: take a counter-three, predict the future, grab rods, independently restore the Gravity body model shown on-site, demonstrate the complex long-range task of making breakfast, demonstrate the amplification, high-range efficiency and ro


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Gravity body model:

Take a counter-threat, predict the future, grab the robbery, recover it.

The presentation of the Gravity body model, which revolves around mixed-use cleaning boxes, the challenge of selecting alien objects, and the complex long-distance task of making breakfast, demonstrates the strength of the Gravity model's generalization, high operational efficiency and robustness.

In creating this complex long-range task for breakfast, Gravity demonstrated the integrated ability to combine precise operation with long-range stable operation. The live screen synchronizes the prediction picture with the actual operation picture, by making direct comparisons between the preview and the performance of the mouse, demonstrating the model's ability to predict subsequent actions and interaction outcomes, allowing the viewer to see intuitively the process of making the mouse think clearly and re-initiate the mouse. This ability can move parts of the mouse to the model prior to testing, reducing inefficiencies in actual operations, thus improving the reliability of complex task execution.

No one chooses a workstation

High synchronous release of ingestion potential

Selection is the last round of the most human-dependent and the most difficult to attack by automation in a warehouse contract. The RaPS, a machine-armed machine-to-machine pick-up, scanning and placement station, has been upgraded to a fully automated unmanned closed loop for "finding, transporting, and returning" that relies on manpower. With the ability to deploy a million-square-foot SKU in-box instantaneously, 48-hour instantaneously, and 7×24-hour continuous selection performance, Liu has won the 2026 RBR50 Innovation Award.

RS Hyper high power debut

High simultaneous release of absorption energy

The new-generation cargo-to-person program, RoboShuttle Hyper, which debuted at the exhibition site with a high-efficiency display, combines RS Hyper crawling robot cluster level transportation with vertical take-out of containers, through adjacent rows of parallel crawling, combined in-store, dual-directional high-density network and intelligent scheduling, with a system of throughput of up to 6,000 boxes per 1,000 square meters per hour. Max workshops use double-point continuous supply boxes, with maximum efficiency of 800 boxes per hour.

With a maximum crawling speed of 1.5 m/s, adjacent columns of only two rows of locks, parallel crawling with the same two-car operation, and dual main channels under the shelves, the RS Hyper is powered by a two-way high-speed network, pushing through the ceiling to new heights and becoming the focus of the whole game.

The RoboShuttle Hyper crawler program is geared towards high traffic density scenarios, combining high storage density and ultra-high throughput, and is suitable for MFC pre-positioning, fresh B2C storage and other scenarios.

At the same time, the entire matrix of containers to people appears, RS Air is easily stable, suitable for extremely high stability requirements, a relatively single customer category of goods, suitable for situations such as ready-made warehouses, manufacturing warehouses.

Toss to the Human Program Matrix

Fast and slow flow matching demand

Facing a high-flow, high-density tray storage scenario, the SkyCube tray four-way vehicle system uses stereo storage and smart timing to improve storage space utilization and inventory output efficiency. A set of systems that simultaneously handle repair, packaging and disassembly operations, without partition switching, and support deployment by business growth phases, is a perfect alternative to traditional tray systems.

In order to further expand the trolley market and improve the trolley automation layout for different traffic needs, Toyota recently released the RoboPallet trolley minivan program, aimed at the construction of new trolley with medium traffic and the upgrading of existing man-made forklifts stores, especially suitable for net height below 13 meters. Through RMS unification, RP11 high-performance forklifts and low-performance forklifts or P-series robots collaborate to achieve high-performance storage and ground handling, through trolley storage, supply and station selection.

RoboPallet can be replicated with existing beam shelves, which are compatible with Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha Yamaha

Based on the standardized module design, RoboPallet does not require large-scale land conversion and is delivered within a month. The number of robots can be increased on demand, easy to expand and relocate, and flexible deployment to adapt to business fluctuations and growth.

PopPick Lite shelves to people

Efficient selection and rapid deployment

The shelf-to-person program PopPick Lite is quick to install, easy to deploy, and automated shelf cleaning significantly increases shelf hit rates, increases selection efficiency 2-4 times, and reduces operating and manpower costs.

The robot determines what the warehouse can do, and the "brain" determines how smart the entire warehouse can function. The end-to-end robotic program continues to expand the autonomous operating boundaries of the warehouse, and the AI-powered warehouse brain enables the entire robotic system to achieve more efficient synergy with intelligent decision-making, accelerating toward 7×24-hour autonomous intelligent warehousing.

AI drives intelligent operations and continuous optimization

Accelerate the move to 24/7 autonomous smart warehouses

The Geek+ Warehouse Brain software platform consists of three core modules: the RMS robot management scheduling system, the WES storage execution system, and the IOP smart operating platform.

As the AI core of the warehouse brain, AI is continuously enhancing the ability of AI to synchronize with AI and to operate with AI. Based on the storage knowledge and operating experience accumulated in large-scale commercial deployments around the world, as well as the shared data and knowledge base, AI is continually immersing, sharing and replicating the operating experience of different robots, projects and scenarios, transforming it into ever-increasing AI capabilities, forming AI capability barriers that are difficult to replicate with real operating experience and industry knowledge at its core.

Based on this capability, ZTE plans to use physical intelligence and full warehouse intelligence as the two main AI technologies, opening up the entire process, strengthening the smart closure, driving the scale-up of autonomous smart warehouses, and driving warehouses towards 7×24 hours of unmanned autonomous operation and evolution.

From 3rd to 6th November, the Taiji-Jia stands look forward to your arrival.

* Translated from Zhijia


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