Realman Intelligent Releases the W1 Self-Picking Robot: Supports Coordinated Clusters of 50 Units, Ready to Use on Arrival

On November 3, CeMAT ASIA 2026 (the 2026 Asian International Trade Fair for Logistics Technology and Transportation Systems) opened at the Shanghai New International Expo Centre. RealMan Intelligent appeared under the theme "Real Work · All Hands On Deck." On the first day of the exhibition, RealMan Intelligent systematically demonstrated three operating modes: GLN remote operation, W1 autonomous operation, and cluster collaboration. At the same time, 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. The release of the W1 self-picking robot takes "real work" from single points to scale. In real warehousing environments, the efficiency of a single device always has an upper limit. A truly unmanned warehouse needs "robot coworkers" that work collaboratively at scale. The W1 self-picking robot newly released at this exhibition completes the entire process autonomously, 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 scaling capability. The system comes with 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 will automatically allocate tasks, plan paths, and collaboratively complete picking, placing, and transfer. When business grows, there is no need to rebuild the system; the scale effect of the "robot fleet" 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. The full-process traceability of tasks and the closed-loop exception feedback mechanism enable on-site operations and maintenance to achieve "predictive management," significantly reducing the hidden labor and time management costs in warehousing operations. In response to the high threshold and long cycle of traditional automation transformation, the W1 achieves minimalist deployment that is "ready to use upon entry." Customers do not need to rebuild existing shelves and aisles for the robots, greatly saving upfront transformation funds; at the same time, the system eliminates the cumbersome visual modeling process, and entry can be completed simply by taking characteristic images of products. 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 solve the difficulties of implementing logistics scenarios. The release of the W1 self-picking robot enables RealMan Intelligent to present on the same stage at CeMAT ASIA 2026 three operating modes: remote operation, autonomous operation, and multi-robot collaboration. 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-temporal and cross-spatial remote control and real-machine data return capabilities, allowing partners to quickly acquire cross-regional operation capabilities without building their own remote operation systems, enabling one person to manage multiple robots. At the complete machine system integration layer, the W1's 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, transfer, 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 core underlying capabilities. From remote to autonomous, from single machines to clusters, from core components to complete machine systems, what RealMan Intelligent demonstrates is a complete operating-mode layout for logistics scenarios. Real work, continuously online, and truly useful data—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 provider of core capabilities in the industry chain. [More to read] Coffee machines, unmanned retail, and scientific research platforms can all be equipped! This ultra-compact six-axis robotic arm can be embedded directly inside equipment.