Xiaomi wins double awards at Wuzhen Summit: Xiaomi Group receives 'Outstanding Contribution Award', Xiaomi Embodied Base Model receives 'Leading Technology Award'
小米斩获乌镇峰会双料大奖：小米集团获“杰出贡献奖”，小米具身基座模型获“领先科技奖”
On November 3, 2026, Xiaomi announced that the group won the 'Outstanding Contribution Award' in the innovation breakthrough category at the 2026 World Internet Conference. Additionally, its embodied base model technology for scalable deployment received the 'Leading Technology Award'. During the summit, Xiaomi disclosed two latest implementation progress reports: in industrial manufacturing, humanoid robots completed an 8-hour task at a car factory station, achieving autonomous correction of anomalies and system-level collaboration; in home scenarios, the embodied base model based on the pre-trained Xiaomi-Robotics-1 launched a pilot operation at Xiaomi Youth Apartments, completing long-term tasks exceeding 30 minutes across three rooms with over 50 tasks.
Source: QbitAI — Robotics · 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 S5
Reported numbers
Reported duration
8 hours
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在工厂场景，小米披露人形机器人在汽车工厂的最新“实习”进展：在中控台侧盖板排序工站中首次挑战8小时作业任务，满足工站全天生产需求，并实现作业过程异常自主纠偏与产线系统级协同，初步完成产线级作业能力验证。
Open source S5Reported duration
30 minutes
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在家庭场景，小米具身基座模型在小米青年公寓正式启动“试运营”，基于Xiaomi-Robotics-1 预训练模型搭建Agent 系统，已在小米青年公寓完成连续超30分钟、覆盖3个房间、包含50+任务的长程任务验证。
Open source S6Reported success rate
90.2%
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2026年3月，小米人形机器人首次进入小米汽车工厂“实习”，在自攻螺母上件工站实现连续3小时自主作业，双侧安装成功率90.2%，满足76秒产线节拍。
Open source S18Reported success rate
98%
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7月，小米机器人在自攻螺母工站作业成功率提升至98%，并新增中控台侧盖板排序、料箱折叠回收两个复杂工站，首次实现柔性工件长时作业。
Open source S19Reported duration
100,000 hours
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最新一代具身基座模型 Xiaomi-Robotics-1 基于10万小时真实世界操作数据预训练，国内率先系统性验证具身智能领域 Scaling Law 的存在，并在 RoboCasa365、RoboDojo 等权威评测榜单上位列全球第一。
Open source S15
- paper: not_reported
What remains unknown
Not established in the collected evidence: Environment, Data origin.
Reported performance applies to the described task. It does not establish general autonomy or deployment readiness.
Source excerpts and review record
Automatically extracted; no manual editorial approval recorded.
在家庭场景，小米具身基座模型在小米青年公寓正式启动“试运营”，基于Xiaomi-Robotics-1 预训练模型搭建Agent 系统，已在小米青年公寓完成连续超30分钟、覆盖3个房间、包含50+任务的长程任务验证。
Open source S6
在工厂场景，小米披露人形机器人在汽车工厂的最新“实习”进展：在中控台侧盖板排序工站中首次挑战8小时作业任务，满足工站全天生产需求，并实现作业过程异常自主纠偏与产线系统级协同，初步完成产线级作业能力验证。
Open source S5
最新一代具身基座模型 Xiaomi-Robotics-1 基于10万小时真实世界操作数据预训练，国内率先系统性验证具身智能领域 Scaling Law 的存在，并在 RoboCasa365、RoboDojo 等权威评测榜单上位列全球第一。
Open source S15
2026年3月，小米人形机器人首次进入小米汽车工厂“实习”，在自攻螺母上件工站实现连续3小时自主作业，双侧安装成功率90.2%，满足76秒产线节拍。
Open source S18
7月，小米机器人在自攻螺母工站作业成功率提升至98%，并新增中控台侧盖板排序、料箱折叠回收两个复杂工站，首次实现柔性工件长时作业。
Open source S19
小米此前已迭代2代具身基座模型，并在工业和家庭多个场景下开展技术验证和实际应用。
Open source S14
Source：QbitAI — Robotics · qbitai.com