Realman Intelligent Releases the W1 Self-Picking Robot, Showcasing Three Capabilities: Remote, Autonomous, and Swarm Collaboration

At CeMAT ASIA 2026, which opened yesterday, Realman Intelligent, a robotics company whose theme is "real work, all hands on deck," appeared in Hall N2 to exchange with logistics integrators, equipment manufacturers and research institutions from around the world. Realman Intelligent systematically demonstrated three operating modes: GLN remote operation, W1 autonomous operation and cluster collaboration. Relying on high-quality real-machine data continuously accumulated in real scenarios, Realman Intelligent is comprehensively empowering the logistics robot industry chain and helping partners develop, integrate and deliver logistics-scenario solutions faster. Launching the W1 self-picking robot, taking "real work" from single points to scale In a real warehousing environment, the efficiency of a single device always has an upper limit. A truly unmanned warehouse needs robot "co-workers" in formation. The W1 self-picking robot newly released at this exhibition autonomously completes the entire process, from receiving tasks to picking and placing bins, AI visual recognition, and grasping and placing. Facing business peaks and single-machine capacity bottlenecks, the W1 self-picking robot demonstrates strong elastic expansion capability. The system has built-in intelligent scheduling and supports cluster operations of up to 50 robots. This means customers can flexibly increase or decrease the scale of equipment according to business peaks and troughs, and the robot cluster automatically allocates tasks, plans paths and collaboratively completes picking, placing and transfer. When business grows, there is no need to rebuild the system; the scale effect of the "robot cluster" greatly improves overall throughput, calmly coping with concurrent peaks such as major promotions. Through a unified scheduling interface, customers can grasp the location and task status of all devices in real time. Addressing the high threshold and long cycle of traditional automation transformation, the W1 achieves minimalist deployment of "use upon entry." Customers do not need to rebuild existing shelves and aisles for the robots, and the cumbersome visual file-creation process is eliminated; they only need to take a feature image of the product to complete entry. This no-modification, fast-deployment feature allows warehouses to enter automation as quickly as possible, minimizing trial-and-error costs and deployment cycles. Three operating modes on the same stage, solving the landing challenges of logistics scenarios With the release of the W1 self-picking robot, Realman Intelligent now has three operating modes at the same time: remote operation, autonomous operation and multi-robot collaboration. In the logistics robot industry chain, Realman Intelligent has also evolved from a robot manufacturer into a core capability provider. At the core component layer, Realman Intelligent provides fully self-developed automotive-grade joint modules and the ECO62 ultra-compact embedded robotic arm, helping equipment manufacturers and integrators quickly obtain reliable six-axis operation capability. The mean time between failures (MTBF) reaches 50,000 hours, ensuring the stability of robots operating continuously 24/7 in real scenarios. At the network layer, the GLN remote operation network provides cross-time-and-space remote control and real-machine data return capability, allowing partners to quickly acquire cross-regional operation capability without building their own remote operation systems, enabling one person to manage multiple robots. At the complete-machine system integration layer, W1 autonomous picking and multi-robot collaboration capabilities provide autonomous operation, cluster scheduling and data closed-loop capabilities, supporting partners in delivering complete solutions from single machines to clusters. At the real-machine data layer, every grasp, transport and placement by the robots in real scenarios continuously returns high-quality real-machine data. These data not only feed back into model iteration but are also opened to the industry chain as a core underlying capability. From remote to autonomous, from single machine to cluster, from single-machine picking to multi-robot collaboration, from core components to complete-machine systems, what Realman Intelligent demonstrates at CeMAT ASIA 2026 is a complete operating-mode layout for logistics scenarios. Supporting partners with core capabilities, serving scenarios with operating modes, and driving iteration with real data—this is Realman Intelligent's answer to the industrialization of logistics robots, and also the value of its role as a core capability provider in the industry chain.