en.Wedoany.com Reported - On June 10, Chinese embodied intelligence company Zhiyuan launched the Lingxi X2 EDU (Everyone Builds) version, targeting scenarios such as scientific research education, engineering training, and robot competition development. This version is designed with a core focus on disassembly, expandability, and secondary development, providing a teaching and research platform for university laboratories, vocational colleges, science and innovation competition teams, and robotics curriculum systems.
The focus of the Lingxi X2 EDU (Everyone Builds) version is not merely on demonstrating robot movements, but on deconstructing the humanoid robot into a learnable, modifiable, and verifiable engineering object. The complete machine, including the dummy head, stands 130 cm tall and weighs 35 kg. It features 29 degrees of freedom across the body, with 7 degrees of freedom per arm, a maximum end-effector payload of 3 kg, and a top walking speed of 1.8 m/s. For teaching scenarios, these parameters cover basic experimental needs such as structural cognition, motion control, robotic arm operation, end-effector adaptation, and mobile control. For research and competition teams, the open hardware structure facilitates secondary development around gait algorithms, grasping strategies, human-robot interaction, and multi-sensor fusion.
This version is equipped with an RK3588 computing module and supports the free addition of external sensors and development boards.
Open interfaces are a key differentiator for this product in the education market. The device provides open power and data interfaces, allowing connection to various types of sensors and supporting multi-directional teaching and research exploration. The computing board can be upgraded with advanced secondary development boards to meet advanced research needs. Control permissions for execution units such as joints and grippers are open, facilitating embedded development, electromechanical system integration, and low-level motion control experiments for teachers and students. The Lingxi X2 EDU also supports the selection of multiple types of end-effectors, including grippers, simulated prosthetic hands, and dummy fists, adaptable for grasping, human-robot interaction, motion experiments, and specific competition tasks. The external appearance components of the body can also be customized and structurally modified, allowing the robot to be flexibly adjusted according to course demonstrations, experimental verification, and science and innovation competition requirements.
The launch of such educational humanoid robots indicates that the embodied intelligence industry is moving beyond complete machine demonstrations and commercial deployment, further entering the realm of talent cultivation and engineering training. Humanoid robots involve multiple disciplines including mechanical structure, servo drives, motion control, visual perception, embedded systems, AI algorithms, and system integration. Relying solely on software simulation makes it difficult to fully cover issues related to real hardware errors, joint control, load variations, and on-site debugging. An open platform oriented towards education and training allows students and researchers to engage with real robotic systems earlier, shortening the distance from algorithm validation to physical deployment. Subsequent focus points will be on the deployment status of this version in universities and laboratories, the speed of curriculum system adaptation, feedback from competition applications, and whether Zhiyuan can build a developer ecosystem and teaching resource package around the Lingxi X2 EDU. If the application progresses smoothly, the educational humanoid robot will become an important gateway for expanding the talent supply in the embodied intelligence industry.
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