World First: Gino 1 Humanoid Warehouse Robot Unveiled, Targeting Massive Trillion-Yuan Market

Geek+ (2590.HK), a global leader in intelligent robotics, officially launched Gino 1 on February 10—the world's first humanoid general-purpose robot designed specifically for warehousing scenarios. This means Geek+ will be the only company in the industry to achieve a complete product and technology portfolio in warehousing scenarios, including mobile robots, specialized robotic arms, and general-purpose humanoid robots.

As another productivity AI innovation landing under the "General-Purpose Warehousing Robot" strategy, Gino 1 distinguishes itself from other humanoid robots—it is purpose-built for warehousing, designed and trained entirely for general-purpose multi-task capabilities in warehouse scenarios. Gino 1 leverages the embodied brain Geek+Brain to train on massive warehousing data accumulated by Geek+ over many years, combined with large-scale simulation reinforcement learning, forming human-like general operation capabilities. It can perform multiple tasks including warehouse picking, box handling, packing, and inspection, truly achieving "one robot covering mainstream manual operation scenarios within warehouses," leading the warehousing industry in a critical leap from mobile intelligence to operational intelligence.

To date, based on deep scenario understanding, Geek+ has constructed a clear and deployable end-to-end unmanned warehouse solution: leveraging the Geek+Brain embodied intelligence foundation model, AMR clusters complete handling, storage, and other mobile processes, while Gino 1 comprehensively takes over highly flexible, high-complexity manual operation scenarios. Among these, for high-efficiency picking needs across massive SKUs, the picking process can be efficiency-boosted by unmanned picking workstations. This solution achieves full-domain intelligent coverage of core warehouse operations, helping customers significantly alleviate labor pressure while achieving efficiency leaps and reducing long-term costs.

Overall, from "goods-to-person" specialized warehouse robots (AMR), to specialized robotic arm unmanned picking stations solving high-efficiency picking of massive products, to today's launch of the general-purpose warehouse robot Gino 1, Geek+'s multi-agent end-to-end collaborative intelligent warehousing operation system is comprehensively leading a new era of unmanned warehouses.

Scenario-Native: Productivity AI with Built-In Know-How

Distinguished from the industry's "build technology first, find scenarios later" approach, GINO 1 is a "warehousing-native" embodied intelligence solution created by Geek+ backed by its #1 global warehouse fulfillment market share and vast customer and channel network. It directly inherits Geek+'s decade of scenario know-how and data assets accumulated through deep cultivation, constructing a difficult-to-replicate moat—its commercialization deployment speed will significantly lead the industry.

Meanwhile, Gino 1's software system deeply integrates warehousing scenario know-how with AI technology, creating a next-generation embodied intelligence VLA fast-slow collaboration system, enabling the robot to emulate human cognitive and execution capabilities, autonomously operate across the entire warehouse domain, and significantly improve stability and success rates in complex tasks.

On the hardware front, Gino 1 features full-stack self-developed hardware platforms, comprehensively targeting warehousing pain points across all dimensions, deeply aligning with the entire warehousing operation chain, ensuring the robot truly moves smoothly, grasps stably, and operates reliably.

Head Multi-Eye Vision: The robot's head is equipped with tri-camera main vision and front-rear fisheye cameras, balancing near-field high-precision recognition with 360-degree front-rear environmental perception and semantic understanding, providing accuracy and safety guarantees for multi-task complex operations.

Three-Finger Dexterous Hand: The robot's arm end is equipped with a 7-active-DOF three-finger dexterous hand, balancing grasping flexibility and reliability, while featuring palm dual cameras and tactile sensors, endowing the dexterous hand with multi-dimensional operational perception capabilities.

Humanoid Full-Joint Force-Controlled Dual Arms: The robot's dual arms feature 14 degrees of freedom with a humanoid configuration for enhanced flexibility. Simultaneously, full-joint force control enables safe operation with humans and the environment, with dual arms supporting a maximum 20kg payload, covering payload requirements for general warehousing operations.

Extended Operational Endurance: Beyond the robot's onboard large-capacity 50Ah battery, it features the industry-first wireless super-fast charging capability with charging power reaching 3kW, dramatically improving robot charging efficiency and increasing working time.

Three-Dimensional Environmental Perception: Based on Geek+'s decade of AMR R&D in intelligent environmental perception and positioning navigation technology, the chassis is equipped with front-rear hemispherical 3D LiDAR, enabling 3D scene reconstruction, dynamic trajectory planning, and flexible omnidirectional movement capability.

Ultra-High Computing Power: The main controller is based on the NVIDIA Jetson Thor robot computer powered by NVIDIA Blackwell, delivering up to 2,070 FP4 TFLOPS of computing performance, efficiently handling parallel computation of multimodal AI models, unlocking complex application scenarios including physical AI, high-speed sensor data processing, and general robot tasks, providing computational power assurance for the brain.

On the software front, Gino 1's next-generation embodied intelligence VLA fast-slow collaboration system enables the robot to emulate human cognitive and execution capabilities, autonomously operate across the entire warehouse domain, and significantly improve stability and success rates in complex tasks, truly enabling the robot to see clearly, think clearly, and act precisely.

Geek+'s embodied intelligence VLA fast-slow collaboration system possesses the following core technical capabilities:

Multimodal Fusion Perception: Integrating vision, language, and proprioceptive information, precisely identifying cargo/spatial relationships, parsing task instructions, capturing self-posture, adapting to complex dynamic warehouse conditions.

Fast-Slow Collaborative Intelligence Architecture: The slow system handles high-level task understanding and planning (decomposing instructions, generating global strategies); the fast system achieves real-time visual perception and feedback control (tracking targets, rapid obstacle avoidance), balancing decision rationality and execution efficiency.

High-Frequency Closed-Loop Action Decision Hub: Unified action generation model, high-frequency command output, achieving vision-force closed-loop control, ensuring precise operation and stable motion, supporting continuous reliable execution in complex scenarios.

Data-Driven Continuous Evolution: Based on massive warehousing operation data and efficient data closed-loop capabilities, continuously optimizing algorithm models, constantly improving scenario adaptability and task execution capabilities, adapting to diverse warehousing operation needs.

Leveraging the above software capabilities, Gino 1 brings four core values to warehouse automation:

Efficient Execution of Complex Tasks: Stably supporting multi-step, multi-objective continuous operation workflows, addressing diverse flexible operation needs within warehouses.

Interpretable and Manageable Intelligent Behavior: Task planning and execution logic are transparent and controllable, facilitating on-site operations, system optimization, and scaled management.

Industrial-Grade Operational Stability: High-frequency closed-loop control and real-time feedback ensure precise operation and reliable motion, meeting long-term operation requirements in industrial scenarios.

Continuous Scenario Evolution Capability: Data-driven algorithm iteration—the more it's used, the more stable; the more it's used, the better adapted—continuously improving robot generalization and operational capabilities.

Deployment Speed and Commercial Viability Significantly Lead the Industry

Notably, Geek+ has become one of the few embodied intelligence companies in the industry to achieve "launch-ready mass production, deployment-ready revenue generation," with deployment speed and commercial viability significantly leading the industry:

1. End-to-End Unmanned Warehouse Comprehensive Solution: Geek+ provides end-to-end full-process unmanned warehouse solutions, with embodied intelligence products deeply embedded into warehouse-native robot operation workflows. Plug-and-play, no additional integration required—industry-leading deployment efficiency.

2. Deployment-Ready Revenue Generation: Unlike most industry products that remain in demonstration or training stages, Geek+'s unmanned picking workstation passed POC validation with a Fortune 500 enterprise and completed acceptance within 3 months of release, directly achieving stable operations in real warehouse scenarios, validating its technical capabilities, industrial-grade reliability, and commercial value.

3. Launch-Ready Mass Production: Gino 1 already possesses mature mass production capabilities and can be directly delivered in batches to global customers after launch, breaking through the industry's common pain points of difficult technology deployment and lack of mass production capability.

4. Warehouse-Native: Unlike other humanoid robots pursuing "omnipotence," Gino 1 is deeply customized specifically for warehouse scenarios. By focusing design and training on general-purpose multi-task capabilities for warehouse scenarios, Gino 1 not only meets customer requirements in reliability and efficiency, but also possesses exceptional cost-effectiveness, making customers more willing to pursue large-scale deployment, thereby accelerating genuine commercial application.

Notably, the general-purpose warehouse robot released this time is not only the company's entirely new growth curve, but also significantly enhances Geek+'s differentiated core competitiveness in its warehouse robot product matrix, providing customers with more comprehensive end-to-end unmanned warehouse integrated solutions, forming a strong synergistic empowerment effect with existing business, and is expected to bring disruptive transformation and industrial upgrading to the traditional logistics automation industry.

Geek+ has become a new benchmark in the AI-era intelligent warehousing solutions sector. Its end-to-end robotic unmanned warehouse solutions are poised to become core standard equipment for the next generation of warehousing logistics infrastructure.

It's clear that Geek+ does not pursue pure technology concepts, but rather continues its consistent strategy in the embodied intelligence direction—leveraging its scenario advantages, technical advantages, and technology advantages through warehouse scenario-native productivity AI to directly correspond to revenue generation.

Over 70% of Warehouses Remain Non-Automated: Trillion-Yuan Existing Market Opportunity

Undeniably, at the current development stage of the embodied intelligence industry, ToB robots represent the direction with the strongest commercial viability. Among robot scenarios, the warehousing track possesses core advantages of strong essential demand, short ROI (2-3 years), scalability, and profitability, endowing robotics companies in this track with "low volatility, high growth, stable revenue" growth attributes. Therefore, to a certain extent, warehousing is the ToB robot track that is most "profitable and steadily growing." As a core player in the warehouse robotics track, Geek+ will maximize harvesting of industry dividends.

According to Interact Analysis data, over 70% of global warehouses still heavily rely on manual labor. Even in modern warehouses that have introduced AGV/AMR, operations such as picking and sorting—which account for over 50% of operating costs—have long been an "automation forbidden zone" due to complex movements and high flexibility requirements. This existing market urgently awaiting transformation from "human hands" to "mechanical hands" contains hundreds of billions of dollars in commercial value. The advent of Gino 1 precisely fills this gap, opening up massive growth potential for "operational intelligence."

Another point worth special mention: from Geek+'s launch of Gino 1, we can see that Geek+ does not pursue pure technology concepts, but rather warehouse scenario-native productivity AI that directly corresponds to revenue generation.

In fact, Geek+ has completed the first phase "individual breakthrough" of its "General-Purpose Warehouse Robot" strategy: the unmanned picking workstation specialized for picking scenarios was launched in late October 2025 and has recently been accepted by international giants, completing technical and commercial validation. The release of Gino 1 marks the strategic realization of the second phase "scenario generalization," achieving evolution from specialized to general-purpose.

According to Geek+'s roadmap, it will next leverage its global network to accelerate large-scale deployment of unmanned warehouse solutions, driving dual evolution of technology and commerce through the "scenario-data-technology" closed-loop iteration. Simultaneously, Geek+ will prepare to launch the third phase of strategic ecosystem co-development, joining hands with global physical AI and embodied intelligence enterprises to collectively drive warehousing operations into a new era of multi-agent full-domain collaboration and true unmanned operations.

Key Technological Breakthroughs