Xiaomi's CyberOne 02 Robot Completes 8-Hour Shift in Automotive Assembly Line
雷军最新发布：小米机器人生产小米汽车！
Xiaomi founder Lei Jun announced that the CyberOne 02 humanoid robot successfully completed an 8-hour shift in an automotive assembly line, marking a milestone for Xiaomi's embodied AI. The robot, powered by the new Xiaomi-Robotics-1 (XR-1) model, also demonstrated long-horizon tasks in a youth apartment. XR-1 uses an end-to-end Vision-Language-Action (VLA) architecture with Qwen3-VL for perception and a Diffusion Transformer (DiT) for action generation, trained on over 100,000 hours of human operation data collected via UMI devices and adapted to specific robot bodies using delta EE pose representations. While the results represent a significant engineering step, the source notes that video details are obscured by acceleration and wide angles, and the data pipeline still relies partially on open-source datasets.
Source: Chinese robotics — Dataset and collection discovery · Read original article ↗
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What the source reports
Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.
- Control
- Reported autonomousOpen source S9
Reported numbers
Reported duration
8 hours
View original evidence
贾浩楠 发自 副驾寺 量子位ROBO | 公众号 AI4ROBO 你的 小米汽车，正在由小米机器人生产制造 ： 刚刚，小米创始人雷军亲自放出了最新进展： 小米人形机器人在汽车工厂首次挑战8小时稳定作业，完全满足全天生产需求。
Open source S3Reported duration
8 hours
View original evidence
但最新的素材，CyberOne 02已经能连续8小时完成汽车装配车间的任务了： 工站是汽车总装物流区域的中控台侧盖板排序，而盖板属于柔性工件，尺寸大、形态不规则，摆放姿态存在随机性，对视觉定位和抓取力控的要求高于标准结构件。
Open source S7Reported duration
8 hours
View original evidence
CyberOne 02在8小时内跟随产线节拍持续运转，会自动配合来料的AMR调整自己的取料路线、步幅： AMR换岗时，CyberOne 02也会耐心等待，遇到来料偏差或放置失败时还能自行调整： 雷军很谦虚，将这一阶段定义为机器人的“实习”、产线级作业能力的初步验证。
Open source S8Reported duration
>100,000 hours
Dataset details reported by the source
- Modalities
- language Open source S21
- paper: not_reported
What remains unknown
Dataset licensing and commercial-use rights are not established here.
Source excerpts and review record
Automatically extracted; no manual editorial approval recorded.
贾浩楠 发自 副驾寺 量子位ROBO | 公众号 AI4ROBO 你的 小米汽车，正在由小米机器人生产制造 ： 刚刚，小米创始人雷军亲自放出了最新进展： 小米人形机器人在汽车工厂首次挑战8小时稳定作业，完全满足全天生产需求。
Open source S3
可自主规划和执行涵盖工具准备、沙发与桌面整理、垃圾清理、物品分类归位、房间巡检、全屋复检与离场等环节在内的完整任务。
Open source S9
简单理解，VLA需要把三个环节连接起来：机器人通过视觉获取环境信息，结合语言指令理解任务目标，最后生成可以执行的动作。
Open source S21
但最新的素材，CyberOne 02已经能连续8小时完成汽车装配车间的任务了： 工站是汽车总装物流区域的中控台侧盖板排序，而盖板属于柔性工件，尺寸大、形态不规则，摆放姿态存在随机性，对视觉定位和抓取力控的要求高于标准结构件。
Open source S7
CyberOne 02在8小时内跟随产线节拍持续运转，会自动配合来料的AMR调整自己的取料路线、步幅： AMR换岗时，CyberOne 02也会耐心等待，遇到来料偏差或放置失败时还能自行调整： 雷军很谦虚，将这一阶段定义为机器人的“实习”、产线级作业能力的初步验证。
Open source S8
小米使用 UMI 设备采集超过10万小时的真实人类操作轨迹。
Open source S24
Implications for data suppliers
RoboSignal interpretation and collection questions, not statements of buyer demand.
- Confirm the required data type and collection setting with the buyer; this source does not establish a complete collection specification.
- Compare the reported units and scope before using these quantities in a budget. Recording hours, sensor-hours and trajectories are different measures.
- Check the exact dataset version, license, modalities and task coverage against the intended use.
- Validate demand and acceptance criteria with a buyer before scaling. Publication, popularity and a research result do not establish a purchase commitment.
Source：Chinese robotics — Dataset and collection discovery · news.qq.com