Kyland Technology Launches Fully Domestic Electronic Architecture for Embodied AI Robots

On September 28, at the Fully Domestic Electronic Architecture Embodied AI Robot Launch held in Yichang, Hubei, the first embodied AI robot equipped with a fully domestic electronic architecture made its debut. The launch was positioned as a milestone for domestic embodied intelligence, as the robot carried an intelligent nervous system built entirely from domestic technology.

According to Shanghai Securities News, the robot's fully domestic electronic architecture was independently developed by listed company Kyland Technology. The electronic architecture is regarded as an intelligent nervous system that determines the performance ceiling of the whole machine, covering the operating system, network, tool software and AI computing chips. If a robot is compared to a person, the electronic architecture is its nervous system.

The fully domestic electronic architecture is based on deterministic computing and deterministic networking. It integrates and optimizes four technologies: the national-level new industrial intelligent operating system Intewell, the AUTBUS international standard for a TSN-based deterministic bus led by China, the national-level agent tool software MaVIEW, and fully domestic AI processor chips. The architecture is designed for industrial robots that need both real-time control and AI decision-making.

The architecture achieves isolated fusion of control and AI intelligent computing, building a fully domestic technology foundation from AI decision-making to physical execution. Compared with traditional foreign solutions such as Linux, ROS, CAN and EtherCAT, its advantages include integrated industrial protocols, control and AI inference running together on a deterministic foundation, millisecond-level vision-control coordination, and reconstruction of the robot's endogenous security mechanisms.

These four technologies are optimized as an integrated design rather than simply stacked, allowing control and AI workloads to share a deterministic base while remaining isolated from each other. The deterministic foundation supports control and AI inference simultaneously, while the architecture reconstructs endogenous safety mechanisms rather than treating security as an afterthought.