AgiBot Unveils Lingxi X2 Humanoid Robot with Multimodal Intelligence
Peng Zhihui, the founder of AgiBot, has officially unveiled the Lingxi X2, an advanced bipedal humanoid robot developed by the company's X-Lab. The release was marked by a demonstration video showcasing the robot's diverse capabilities, which include walking, running, dancing, riding a bicycle, and balancing on a hoverboard. Beyond physical agility, the Lingxi X2 exhibits sophisticated cognitive abilities, such as reading and interpreting medication instructions. Weighing 33.8 kg and featuring 28 degrees of freedom, the robot is constructed using self-developed components, including a cerebellum controller, domain controller, intelligent power management system, and core joint modules. Its performance is driven by a specialized computing engine that integrates motion, interaction, and task execution intelligence. A key technological highlight is its use of a VLM-based silicon photonic multimodal model, which enables the robot to perceive and understand its environment through vision. During the demonstration, Zhihui interacted directly with the robot to highlight its responsive nature and advanced visual processing skills. This launch underscores significant progress in the integration of multimodal AI with robotic hardware, positioning AgiBot as a notable competitor in the rapidly evolving humanoid robotics sector.
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AgiBot Unveils Lingxi X2 Humanoid Robot with Multimodal Intelligence
Peng Zhihui, the founder of AgiBot, has officially unveiled the Lingxi X2, an advanced bipedal humanoid robot developed by the company's X-Lab. The release was marked by a demonstration video showcasing the robot's diverse capabilities, which include walking, running, dancing, riding a bicycle, and balancing on a hoverboard. Beyond physical agility, the Lingxi X2 exhibits sophisticated cognitive abilities, such as reading and interpreting medication instructions. Weighing 33.8 kg and featuring 28 degrees of freedom, the robot is constructed using self-developed components, including a cerebellum controller, domain controller, intelligent power management system, and core joint modules. Its performance is driven by a specialized computing engine that integrates motion, interaction, and task execution intelligence. A key technological highlight is its use of a VLM-based silicon photonic multimodal model, which enables the robot to perceive and understand its environment through vision. During the demonstration, Zhihui interacted directly with the robot to highlight its responsive nature and advanced visual processing skills. This launch underscores significant progress in the integration of multimodal AI with robotic hardware, positioning AgiBot as a notable competitor in the rapidly evolving humanoid robotics sector.
TechNode