Recently, renowned developer Wahlheim released a captivating video on Weibo showcasing the latest masterpiece from Zhiyuan Robotics – the "Lingxi X2." This bipedal intelligent interactive humanoid robot, equipped with an emotion computing engine, successfully integrates three core intelligent functions: movement, interaction, and operation, demonstrating exceptional technological prowess.
Reportedly, the Lingxi X2 boasts advanced hardware, including the cerebellum controller Xyber-Edge, domain controller Xyber-DCU, and intelligent power management system Xyber-BMS. The robot features 28 degrees of freedom throughout its body, without using any parallel structures, providing exceptional flexibility and precise movements.
In terms of movement intelligence, the Lingxi X2 is equipped with a Diffusion-based generative motion engine, capable of generating complex movements. The video showcases its ability to smoothly walk, run, and dance. Even more astonishingly, it demonstrates advanced balancing skills like riding a bicycle, a rare feat for bipedal humanoid robots.
Interactive intelligence is another highlight of the Lingxi X2. The robot is equipped with a customized multi-modal interaction large model, supporting various interaction methods such as voice and vision. The emotion computing engine allows it to understand human emotions and respond accordingly, significantly enhancing the naturalness and immersion of human-robot interaction.
Regarding operational intelligence, the Lingxi X2 can be equipped with dexterous hands and other end effectors, enabling precise manipulation and the ability to perform complex grasping, placing, and operational tasks. This feature makes it highly suitable for applications in home services, industrial collaboration, and other scenarios.
As the first truly "agile robot" with complex interaction capabilities, the Lingxi X2 marks a significant breakthrough for Zhiyuan Robotics in the field of humanoid robots. This robot not only showcases China's innovative capabilities in artificial intelligence and robotics but also offers exciting new possibilities for future human-robot collaboration.
