Global smart robotics leader GEEKPLUS-W (02590) has officially launched Gino 1, the world's first general-purpose robot designed specifically for warehouse operations. As a new productive AI achievement under its "General Warehouse Robot" strategy, Gino 1 is distinct from other humanoid robots, being purpose-built and trained for the versatile, multi-task capabilities required in warehouse environments. Its embodied brain, Geek+ Brain, deeply integrates massive warehouse data accumulated by the company over many years, combined with large-scale simulation reinforcement learning. This enables Gino 1 to possess human-like general operational abilities, capable of performing multiple tasks such as warehouse picking, moving boxes, packing, and patrol inspections. It truly achieves the goal of "one robot covering mainstream manual operation scenarios within a warehouse," leading the industry in a critical leap from mobility intelligence to operational intelligence.
Beyond technological breakthrough, the company also focuses on the commercial essence of general-purpose robots. It is committed to driving the creation of commercial value from these robots in real-world scenarios. Through its warehouse-specific design and relevant data training, Gino 1 not only meets customer requirements for reliability and efficiency but also offers exceptional cost-effectiveness. This makes customers more willing to proceed with commercial deployment, thereby accelerating the product's path to genuine commercial application. The product currently possesses mature mass-production capabilities and can be rapidly deployed at scale, laying the foundation for the widespread implementation of fully unmanned warehouses.
The launch of Gino 1 represents a key milestone in the company's innovation roadmap: from specialized Autonomous Mobile Robots (AMRs) using the "goods-to-person" model, to specialized robotic arm unmanned picking stations for efficient high-volume item selection, and now to the general-purpose warehouse robot Gino 1. The company has successfully constructed an intelligent warehouse operation system featuring multi-agent, full-process collaboration, comprehensively leading the new era of unmanned warehouses.
As a productive AI solution with inherent, scenario-native know-how, Gino 1 differs from the industry's common approach of "developing technology first and then seeking applications." It is an "warehouse-native" embodied intelligence solution built upon the company's position as the global market share leader in warehouse fulfillment and its extensive customer and channel network. It directly inherits a decade of deep industry expertise and practical experience, building a unique technological differentiation for the company and significantly accelerating the pace of commercial implementation.
The fully self-developed hardware platform ensures the robot moves smoothly, handles items securely, and operates reliably. The Gino 1 hardware system is comprehensively designed to address key warehouse challenges, deeply aligning with the entire warehouse workflow. Its head features a multi-camera vision system with three main cameras and front/rear fisheye cameras, enabling both close-range high-precision identification and 360-degree environmental awareness and semantic understanding for accurate and safe multi-task operations. The robot arm is equipped with a seven-degree-of-freedom, three-fingered dexterous hand, balancing grasping flexibility and reliability, complemented by palm-mounted binocular cameras and tactile sensors for enhanced operational perception. The humanoid-style dual arms feature 14 degrees of freedom for greater flexibility, with full-joint force control enabling safe interaction with people and the environment, and a maximum load capacity of 20kg to meet general warehouse demands. For extended operation, besides a large 50Ah onboard battery, the robot features an industry-first wireless super-fast charging capability with 3KW power, significantly boosting charging efficiency and uptime. Leveraging intelligent environmental perception and navigation technology from ten years of AMR development, the chassis incorporates front and rear hemispherical 3D LiDAR for 3D scene reconstruction, dynamic trajectory planning, and agile omnidirectional movement. A powerful main controller based on the NVIDIA Blackwell architecture's Thor robot computer delivers up to 2,070 FP4 TFLOPS of computing performance, efficiently handling parallel computation for multi-modal AI models and unlocking complex applications like physical AI, high-speed sensor data processing, and general robot tasks.
The software system deeply integrates warehouse know-how with AI technology, creating a new-generation embodied intelligence VLA (Vision-Language-Action) fast-slow协同 system. This enables the robot to mimic human cognitive and execution capabilities, operate autonomously throughout the warehouse, and significantly improve the stability and success rate of complex tasks. Key technical capabilities include multi-modal fusion perception, a fast-slow协同 intelligent architecture for high-level planning and real-time control, a high-frequency closed-loop action decision center for precise operation, and data-driven continuous evolution based on vast operational data.
Leveraging these software capabilities, Gino 1 delivers four core values to warehouse automation: efficient execution of complex, multi-step tasks; explainable and manageable intelligent behavior; industrial-grade operational stability; and continuous evolutionary capability for the scenario.
According to Interact Analysis data, over 70% of global warehouses still rely heavily on manual labor. Even in modern warehouses that have deployed AGVs/AMRs, operations like picking and tallying—which account for over 50% of operating costs—have long been automation "no-go zones" due to their complexity and high flexibility requirements. This vast existing market, urgently needing conversion from "human hands" to "robot hands," holds commercial value estimated in the hundreds of billions of dollars. The introduction of Gino 1 precisely fills this gap, powerfully opening up the significant growth potential of "operational intelligence."
Based on deep scenario understanding, the company has established a clear and implementable full-process unmanned warehouse solution. Relying on the Geek+ Brain embodied intelligence base model, AMR clusters handle movement-related tasks like transportation and storage, while Gino 1 takes over flexible, complex manual operation scenarios. For high-volume SKU picking needs, unmanned picking workstations can augment efficiency in the picking环节. This solution achieves comprehensive intelligent coverage of core warehouse operations, helping clients significantly alleviate labor pressure while reducing long-term costs and achieving an efficiency leap.
The company has completed the first "single-point breakthrough" phase of its strategy with the unmanned picking workstation for picking scenarios, launched in October 2025, which has recently passed acceptance by an international giant, validating its technology and commercial viability. The launch of Gino 1 marks the strategic realization of the second phase, "scenario generalization," achieving the evolution from specialization to generality. Looking ahead, the company will leverage its global network to accelerate the large-scale deployment of unmanned warehouse solutions. Through closed-loop iteration of "scenario-data-technology," it will drive dual evolution in technology and commerce. Simultaneously, the company will prepare to initiate the third strategic phase of ecosystem co-creation, partnering with global physical AI and embodied intelligence enterprises to jointly advance warehouse operations into a new, truly unmanned era of multi-agent, full-domain collaboration.