Reconstructing the Embodied Intelligence Perception Paradigm, Arctron.tech Launches New Visual "Spatial Intelligence" Product

In 2026, it is highly likely to be marked by future generations as a watershed for embodied intelligence. In the past two years, we have witnessed a major explosion in the humanoid robot track, and they have become the darlings in the spotlight. However, behind the prosperous Demo performances, an unspoken anxiety is spreading throughout the industry: Why can't the robots that can dance, fold clothes, and even do backflips at press conferences enter real factories and home kitchens?

"The current bottleneck in the industry lies not in whether robots can move, but in the long-tail reliability in the real world," pointed out Hu Wen, the co-founder and CEO of Chenjing Technology, incisively. Put simply, robots not only need to perform actions correctly once, but also need to complete tasks ten thousand times without errors in an uncontrollable open environment.

Hu Wen calculated an account: "What customers always buy is the 'unit task cost' and 'Uptime (fault-free operation time)'. In the Demo, you can 'cheat' through presets and remote operations, but in the real world, changes in lighting, slippery floors, and even the different placement of a chair can become long-tail scenarios that destroy the robot's logic. If you can't figure out this account, embodied intelligence will always remain in the laboratory display cabinet."

Chenjing Technology is a hardcore player in the field of spatial intelligence, committed to building the "spatial infrastructure" that connects the physical and digital worlds.

While the entire industry is trying to cross the "valley of death" from the Demo to actual implementation, Chenjing Technology has chosen a path that is extremely challenging but perhaps highly likely: abandoning expensive lidars and reconstructing the "eyes" and "brains" of embodied intelligence with a pure vision solution.

Say Goodbye to "Selecting Everything in Frames", Embrace "Spatial Intelligence"

The large model has overcome the difficulty of "understanding human language", while embodied intelligence faces an even more daunting abyss: endowing machines with absolutely precise "geometric perception" in the physical world. This perception requires measuring the three-dimensional structure of the world in real-time during millisecond-level movements and constructing a rigorous spatio-temporal coordinate system.

The concept of "spatial intelligence" proposed by Professor Fei-Fei Li, the "Godmother of AI", has initiated the process of AI actively exploring the world. In short, it is to enable AI to have "physical intuition" and be able to perceive its own posture, position, and the geometric distance of objects at all times.

In Hu Wen's view, this is exactly the technological territory that Chenjing Technology has been deeply involved in for many years. As a spatial computing company that started to layout the "mirror universe" as early as 2019, Chenjing Technology is committed to cloning a digital twin of the real physical world in the cloud at a 1:1 ratio. This extreme pursuit of "spatial consistency" has allowed Chenjing Technology to build extremely high barriers in relevant underlying technologies.

Traditional machine vision often only outputs a two-dimensional label (such as "this is a bottle"), but this is pale in physical interaction. Real spatial intelligence outputs "spatial structure + spatial coordinates + dynamic relationships". No matter how violently the robot shakes, it can firmly lock onto the absolute coordinates and geometric posture of the target. This high-precision positioning ability is a prerequisite for robots to perform precise grasping.

The core of the new product that Chenjing Technology is about to release is to enable robots to establish an internal world model that is "computable, predictable, and executable". This generational leap from "recognition" to "measurement" means that robots no longer rely on high-precision maps or QR codes, but form a biological-level "spatial intuition" through their eyes, just like humans.

Embrace Tesla FSD, the Advance of Pure Vision

In the perception route, Tesla Optimus has completely shifted to pure vision end-to-end training, marking the formation of a "new common denominator" in the industry: Only by sharing the same visual modality with humans as much as possible can robots reuse the physical rules of human society.

In Hu Wen's eyes, pure vision is not only the ultimate outcome in the future but also the optimal solution at present. "Our firm choice of a full-stack solution centered on visual perception is based on three underlying facts for implementation: scalability, generalization, and sustainable iteration."

First is the cost law. To equip millions of robots with capabilities, sensors must be cheap and in large quantities. As a mature component in consumer electronics, cameras follow Moore's Law, while the cost reduction curve of lidars still cannot support household scenarios.

More importantly, it is the information density. Lidars can only provide geometric positions, while vision contains a vast amount of information such as semantics, textures, and physical properties. "Vision carries the most information. From road structures to indoor scenarios, it is essentially a problem of the same world model. We expect the Scaling Law to be replicated in the visual model, just as it has been in large language models. Only pure vision can feed that general world model," Hu Wen emphasized.

Of course, pure vision used to have shortcomings. Traditional vision solutions are very "fragile". They are afraid of reflections. When encountering a glass door or a stainless-steel countertop on the ground, they often have "hallucinations", mistaking the glass for air and crashing into it directly, or being misled by the reflected virtual image; they are afraid of strong light, as drastic changes in lighting conditions will make them lose depth information; they are also afraid of movement. When the robot turns quickly or walks bumpily, the picture will produce dynamic blurring, and the robot will instantly become "dizzy", resulting in positioning drift.

And this is exactly the "Achilles' heel" that Chenjing Technology's new product is trying to overcome. Through high computing power on the edge side and original algorithms, it enables visual perception to remain stable in an industrial-grade environment.

Be the "Water Seller" in the Era of Embodied Intelligence

As the track becomes crowded, self-developing a top-level vision system may be a huge "strategic trap" for many robot manufacturers. "Full-stack self-development is a long-term war that consumes a large amount of funds and top talents. For robot body manufacturers, the most scarce thing is the time window," Hu Wen said bluntly.

Chenjing Technology has clearly positioned its upcoming new product, the autonomous spatial AI camera: to be the "standardized eyes" and the "entrance to the world model" for robots. Hu Wen said that the commercial path of the product is clear: "It is not only one of the key bottlenecks for the large-scale implementation of robots in both consumer and business markets but also one of the links where it is easiest to form platform-scale economies." Hu Wen revealed that Chenjing Technology's new product has reached a cooperation with the industry's "top player", Unitree Robotics. Previously, Unitree Robotics was unparalleled in the field of motion control with products such as the G1 and H1, but the industry has always been looking forward to a stronger solution in terms of the robustness of complex environment perception.

As a recognized hardcore technology company, Unitree Robotics has extremely strict requirements for hardware. "Unitree Robotics is driven by extreme technology. They have started testing and deploying our Looper Robotics vision perception solution in multiple scenarios," Hu Wen revealed. The fact that this vision solution can pass Unitree's strict tests, even reaching an acceleration range of 24g in the anti-vibration index and being able to adapt to high-dynamic operation requirements, itself proves the industrial-grade strength of this vision solution.

On the morning of January 28, 2026, Chenjing Technology will hold a new product launch event in Hangzhou, officially launching the LooperRobotics brand for embodied intelligence and unveiling its product matrix. This may be the product combination currently on the market that is extremely close to the ultimate form of "spatial intelligence":

Insight Fully Autonomous Spatial Intelligence Camera: An intelligent camera specially designed for embodied intelligence. It is equipped with a high-computing-power neural network computing unit, pushing the originally heavy AI algorithms directly to the edge side. It also has a built-in high-performance VSLAM engine, greatly expanding the boundaries of on-device perception. With an 188° ultra-wide-angle lens and a 24G large acceleration range, it can process complex spatial information in real-time under extreme motion, providing robots with visual feedback that is as sensitive and stable as that of living organisms.

TinyNav High-Performance Navigation Algorithm Library: A lightweight and high-precision 3D navigation algorithm library, which is the "spatial subconscious" of robots. It breaks the traditional navigation's dependence on expensive computing power and can still provide stable positioning and mapping capabilities on low-cost embedded systems. The deeply optimized local perception ability of TinyNav ensures that robots maintain extremely high robustness in complex environments with high uncertainty.

RoboSpatial Spatial Editing Toolchain: A set of 3D spatial editing tools for applications in the embodied intelligence industry. It deconstructs complex spatial intelligence capabilities into easy-to-use "add, delete, modify, and query" operations. Developers can define points of interest (POIs) and set task logic in a 3D real scene, just like editing a document. Its seamless connection with the underlying system shortens the implementation time of embodied intelligence applications from months to days.

When robots truly have spatial intelligence, they will no longer be machines that mechanically execute instructions. The moment when embodied intelligence "opens its eyes" starts with LooperRobotics.