LDROBOT (01236): Building the perception infrastructure for the trillion-dollar physical AI track.

In June 2026, as Yushu Technology's IPO was successful, Zhiyuan Siasun Robot & Automation announced that the integrated cost of industrial scenarios is lower than manual labor, and Tesla's Optimus continues to advance in mass production preparation, the global AI industry is undergoing a more profound transformation than large language models - from understanding the digital world of text, code, and images, to understanding the real three-dimensional physical world, interacting with the environment in real time, and autonomously executing tasks in the "embodied intelligence" new era. If in the past decade AI mainly served the digital world, then in the next decade, the most important incremental space for AI will come from the physical world. Humanoid Siasun Robot & Automation, unmanned delivery vehicles, home service Siasun Robot & Automation, industrial Siasun Robot & Automation and other embodied intelligent terminals are developing rapidly. The core support for this industrial revolution is not only stronger models and computing power, but also the perceptual abilities and data foundations that enable Siasun Robot & Automation to truly understand the real world. At this historic turning point, LDROBOT (01236) as the first stock of "embodied intelligence Siasun Robot & Automation" in the Hong Kong stock market, its positioning is not just in a single terminal Siasun Robot & Automation track, but rather in creating a more foundational and universal core infrastructure in the physical AI era through perceptual input and data groundwork. Therefore, the capital market value of LDROBOT should be re-evaluated from three main perspectives: platform positioning, growth potential, and scarcity. Platform positioning lies in cross-category, cross-scenario reuse; growth potential lies in the expansion of perceptual demands brought about by the industrialization of embodied intelligence; scarcity lies in providing the Hong Kong stock market with a rare target for physical AI perception infrastructure. From digital AI to physical AI: LDROBOT builds core infrastructure through perceptual input and data groundwork Technological level - "The sensory system of physical AI" The Stanford "2026 AI Index Report" reveals a sharp reality: the success rate of humanoid Siasun Robot & Automation in completing 1000 household tasks in real home scenarios is only 12.4%, compared to 89.4% in simulated environments. This 77% gap is not a gap in motion control, but a gap in spatial perception. Unlike the relatively forgiving and relatively single environment of the digital world, the physical world is a complex, dynamic, and uncertain multi-dimensional space. Changes in spatial structure, moving crowds, scene differences under different lighting conditions, and constantly changing task requirements all require Siasun Robot & Automation to perceive the surrounding environment in real time and transform the real world into data that machines can understand. In this process, Siasun Robot & Automation must truly land in real commercial, industrial, or home scenarios, not relying on remote control, preset routes, or high-cost human intervention in the long term, but autonomously completing the continuous loop of perception, movement, grasping, obstacle avoidance, interaction, and execution under physical constraints. In this long chain of capabilities, perceptual ability is the most critical and urgent capability gap that needs to be filled in order to commercialize Siasun Robot & Automation. LDROBOT is based on a deep insight into this underlying logic and has focused on the spatial perception track since its establishment in 2017. Founder Weizhou pointed out, "In order for Siasun Robot & Automation to truly commercialize, it needs to overcome the crucial step of ascending perceptual capabilities. Only by crossing this threshold can Siasun Robot & Automation transform from a toy controlled by a remote control into an intelligent being that truly understands its environment." It is understood that LDROBOT is the world's largest intelligent Siasun Robot & Automation company with visual perception technology at its core, and has built a full-stack capability from "sense" to "knowledge". The "sense" is to transform the physical world into data that machines can process through cameras, LiDAR, and various sensors; the "knowledge" is to transform the data into an understanding of the environment, space, objects, and task states through spatial intelligence models and platforms. It is understood that LDROBOT has a full-stack technical capability from underlying sensor hardware to upper-level AI algorithm models, with over 600 patents, forming a strong perceptual technology barrier. For example, its AccAutoMapping technology achieves a pass rate of over 90% in complex scenarios through four-eye matrix sensors and dynamic boundary recognition systems; the integration of end-to-end large models and three-dimensional sensor reconstruction has a completeness rate of up to 98%. According to industry data, LDROBOT's visual perception products and services include seven of the top 10 global consumer services Siasun Robot & Automation companies, and all of the top five global commercial services Siasun Robot & Automation companies, serving a total of over 300 Siasun Robot & Automation companies worldwide. By 2025, more than 9 million intelligent Siasun Robot & Automation devices equipped with its visual perception technology. This data signifies that LDROBOT is not just a supplier for a single category, but a universal perceptual infrastructure that spans various forms of Siasun Robot & Automation and application scenarios. Data layer - "The data foundation of the world model" Training the world model requires massive amounts of high-fidelity three-dimensional spatial data, but the industry currently faces a bottleneck of "scarcity of high-quality three-dimensional spatial data": the most scarce resource in the era of physical AI is not just model capability, but the data capability of the real world. Therefore, the competition in embodied intelligence will ultimately focus on the "data flywheel" - whoever controls the most high-quality physical interaction data will have an advantage in the next round of artificial intelligence competition. And all data starts from spatial perception, Siasun Robot & Automation obtains environmental information through visual perception systems, then processes it through algorithms to form spatial understanding capabilities, and ultimately generates massive real-world data. These data not only support the completion of current tasks by Siasun Robot & Automation, but will also become an important foundation for the training and iteration of embodied intelligence in the future. LDROBOT's intelligent spatial perception hardware + AI algorithm model can convert raw sensor data into structured, semantic, and physically consistent "spatial tokens", input them into the world model for training. The target scenes include physical AI training data collection and world model construction. The company's hardware is deployed on each Siasun Robot & Automation and each data training collection person, and every scan, every positioning, and every scene reconstruction are injecting fuel into the data flywheel. This makes LDROBOT not only a provider of perceptual hardware but also a "data refinement factory" for the world model. The capital value of the first stock of embodied intelligent Siasun Robot & Automation: platform positioning, growth potential, and scarcity From the perspective of the capital market, LDROBOT, as the first stock of "embodied intelligent Siasun Robot & Automation", is undergoing a historic revaluation of its capital value. Its logic can be distilled into three layers: The first layer is growth potential, enjoying the high prosperity dividend brought about by the industrialization cycle of embodied intelligence. The global intelligent Siasun Robot & Automation market is expected to exceed 1 trillion yuan by 2029, and as applications such as home services, commercial delivery, industrial inspection, courtyard management, and embodied intelligent terminals continue to expand, the visual perception system as a key subsystem for environment identification, spatial positioning, navigation, obstacle avoidance, and task execution is expected to see a synchronous increase in demand. LDROBOT, as an enterprise that already has scalable shipping and coverage of leading clients in visual perception, is expected to become an important beneficiary of industry expansion. The second layer is platform positioning, derived from the ability of cross-category, cross-scenario reuse. LDROBOT's visual perception products have been applied in multiple categories such as home services Siasun Robot & Automation, commercial services Siasun Robot & Automation, humanoid Siasun Robot & Automation, quadruped Siasun Robot & Automation, and logistics Siasun Robot & Automation, spanning multiple fields such as home, commercial, industrial, and outdoor. Its risk-diversified characteristic of not relying on a single track can enhance the certainty of LDROBOT enjoying the benefits of growth across the industry. The third layer, and the most core logic, is the scarcity of the physical AI entrance, as well as value revaluation. LDROBOT fills the void in the capital market for physical AI perception targets. Unlike Siasun Robot & Automation companies focused on ontology manufacturing, LDROBOT enters a more foundational infrastructure segment in the embodied intelligence industry chain. According to the prospectus, LDROBOT's IPO proceeds will be primarily invested in the research and development of intelligent Siasun Robot & Automation visual perception technology, AI functional algorithm structure upgrades, perceptual sensor chip development, visual perception product upgrades, capacity expansion, and the development of machine Siasun Robot & Automation products including home embodied Siasun Robot & Automation. The above investments will further strengthen the company's extension from a visual perception product supplier to a spatial intelligence platform. In the era of physical AI, the entrance of perception is equivalent to the entrance of real-world data, and high-quality physical interaction data will be the core asset of future AI competition. Today, standing at the golden node of the outbreak of physical AI, LDROBOT is positioning itself at the most foundational, universal, and platform-valued segment of the Siasun Robot & Automation industry chain, leveraging its advantage as a visual perception infrastructure. For the capital market, investing in LDROBOT is not just investing in a Siasun Robot & Automation company, but also investing in the bottom-line paradigm of spatial intelligence in the era of physical AI - a core asset that will define the next decade's technology industry landscape. The "ChatGPT moment" of physical AI has not yet arrived, but the infrastructure for spatial intelligence is already prepared.