July 6, 2026, as a forklift mobile robot walked off the production line, Hikvision Robotics officially announced that its cumulative mobile robot units of all categories rolled off the production line exceeding 200,000.

From May 2024 when the 100,000th unit rolled off until now, Hikvision Robotics has completed the leap of the second 100,000 units in just two years. According to the latest statistics from the Mobile Robot Industry Alliance, its market share of mobile robots in 2025 ranked first globally. Against the backdrop of the intelligent transformation of manufacturing, China's mobile robot industry is accelerating from demonstration applications to a new stage of scaled popularization, and the speed change of Hikvision Robotics' 200,000 units rolling off represents a microcosm of this trend.
From Technology to Standards: Systemic Accumulation Behind Scale
The scale of the mobile robot industry is not only an expansion of capacity but also the result of long-term accumulation by leading enterprises in technology, products, scenarios, industry standards, and other dimensions. From the development laws of the global industry, enterprises that can truly achieve large-scale mass production and landing are those that have continuously invested and accumulated for a long time in these dimensions, eventually forming productized and engineering systemic capabilities.
Hikvision Robotics' development trajectory provides a reference for this law. From the gradual improvement of early product lines—Crawler, Forklift, Omni-directional Forklift, and other categories successively launched—to the Safety Controller obtaining the world's first SIL3 certification, the Omni-directional Forklift obtaining the country's first full-instruction CE certification, and the Fourth Generation Architecture Platform "Intelligent Base" being launched—these nodes string together a clear path of capability leap: Mobile robots are gradually evolving from "able to run" to being able to operate safely, stably, and schedulably in complex industrial environments. The continuous evolution of technology has laid the engineering foundation for large-scale delivery.
This accumulation does not stop at hardware. The core software architecture has undergone four iterations, evolving from early warehousing scheduling control to an intelligent platform supporting mixed scheduling and low-code secondary development; core links such as electronic control, algorithms, and perception equipment have achieved full-stack self-development. With mature capabilities, hardware and software interfaces are standardized and opened to the outside, allowing upstream and downstream industries to perform secondary development and scenario adaptation on the same platform, thereby broadening the application boundaries of the industry.
In terms of standards, Hikvision Robotics has cumulatively formulated and revised more than 37 mobile robot standards at various levels. In June 2026, its leading development of the national standard "General Technical Specification for Logistics Robot Information Systems" won the Zhejiang Province Standard Innovation Major Contribution Award. As the first systemic general standard in the field of global logistics robot information, it fills the gap in standards in this field, standardizes large-scale cluster scheduling planning technology, reduces redundant construction costs in the scaled deployment of mobile robots, and accelerates the standardization process of the industry.
Scenario Accumulation: The Market Foundation of Scale
As of April 2026, Hikvision Robotics has cumulatively served more than 20,000 customers, implemented in over 1,000 niche application scenarios, covering automotive and auto parts, 3C electronics, photovoltaic, lithium battery, commercial circulation, food and pharmaceuticals, tobacco, footwear and apparel, and many other industries. Massive customer needs have formed a stable market basic foundation and also provided continuous real feedback for the iteration of products and technologies.
In the automotive industry, Hikvision Robotics has cumulatively invested more than 2,000 mobile robot units in multiple production bases of FAW Toyota, achieving the first deployment of over 1,000 units in a single factory in the automotive industry. In the Changan Digital Intelligence Factory, 687 mobile robot units were landed at once, manufacturing efficiency increased by 20%, and line costs were reduced by 20%. In the new energy field, Hikvision Robotics has landed more than 500 projects in the lithium battery industry, with shipments exceeding 10,000 units. In the circulation and pharmaceutical fields, benchmark projects such as Watsons, Winic, Singapore YCH Group, and Sinopharm General are continuously expanding the efficiency boundaries of warehousing logistics.
Relying on massive implementation experience, Hikvision Robotics has accumulated rich scenario Know-how, enabling the replication of mature solutions from a single scenario, iterating products through real-time data reverse iteration, and forming a positive loop of "scenario refines products, products support mass production".
Ecosystem Construction: Solving Industry Fragmentation Challenges
Facing the extremely fragmented demands of the mobile robot industry, ecosystem capabilities have become one of the keys to scaled landing.
Since launching its ecosystem strategy in 2020, Hikvision Robotics has gathered more than 500 ecosystem partners around the three business lines of Machine Vision, Mobile Robots, and Articulated Robots, cumulatively training more than 200,000 engineers, and built a multi-level ecosystem system covering hardware, software, services, and talent.
In the mobile robot field, Hikvision Robotics has completed the delivery of a large number of fragmented scenarios in partnership with partners. At the implementation level, tooling products such as EasyAMR for small and micro factories and 3D logistics simulation software PlantMirror make flexible automation transformation for SMEs lighter and trial and error costs lower. At the talent end, through paths such as the Engineer Certification System and Industry College co-construction, an "Industry-Education-Research-Application" integrated ecosystem covering talent training, technology verification, and industry transfer has been built.
Intelligent Manufacturing Upgrade: The Future of the Industry from Line Intelligence
In the Tonglu Science and Technology Park of Hikvision Robotics covering more than 200 mu, mobile robots, machine vision, and articulated robots have achieved deep collaboration of "eyes, feet, hands" multiple devices on the production line, from perception, decision-making to execution seamlessly: mobile robots complete factory-wide automated turnover and workstation delivery, articulated robots matched with machine vision complete precision operations such as screwing and calibration, AI vision algorithms perform real-time error correction and positioning; wheeled humanoid robots, quadruped robots, and other embodied series are being tested in loading and unloading, picking, and transport links, supporting a massive capacity of 75,000 mobile robots, 5 million sets of machine vision products, and 20,000 sets of articulated robots annually.

From "machines assist humans" to "robots make robots", intelligence runs through the entire production process of Hikvision Robotics. It is precisely the combination of self-developed production lines and sufficient capacity that makes embodied intelligence no longer stay only in the laboratory, but use Tonglu as a validation platform to quickly replicate mature "eyes-feet-hands" collaboration solutions to various industries, benefiting more manufacturing enterprises with this technology loop.
Looking Forward: The Next Stop After Scale
From the perspective of industry laws, a technology from start to maturity often needs to go through a leap from verification to scaled landing. 200,000 units rolling off is a node for Hikvision Robotics and also a footnote in this process. Behind this acceleration is the technology inclusion path of mobile robots moving from benchmark factories to more widespread industrial scenarios. When deployment thresholds continue to decrease and intelligent technology begins to penetrate every link of manufacturing, the application boundaries of mobile robots will be further expanded.