给机器人当老师，还能赚外快？“中国版Index”觅蜂派来了

AI Digest

觅蜂推出‘觅蜂派’众包平台，通过硬件+App+数据引擎实现机器人训练数据采集，用户可边工作边赚外快，推动具身智能数据规模化。

MeiFeng launches 'MeiFeng Pai' crowdsourcing platform for robot training data, enabling users to earn extra income while working, advancing embodied intelligence data scaling.

Key points

• 觅蜂派通过众包模式让用户边工作边采集机器人训练数据，实现灵活就业。 MeiFeng Pai enables users to collect robot training data while working through crowdsourcing.
• 自研MEgo设备覆盖头戴、夹爪等形态，支持真实场景数据采集。 MEgo devices cover head-mounted and gripper forms for real-world data collection.
• 数据引擎实现手部动作高精度重建，应对遮挡、交互等复杂场景。 Data engine achieves high-precision hand motion reconstruction in complex scenarios.
• 百万小时无本体数据服务多行业，构建具身智能数据生态闭环。 Million-hour un-attached data serves multiple industries, building embodied intelligence data ecosystem.
• 众包模式降低数据采集成本，加速具身智能技术落地应用。 Crowdsourcing reduces data collection costs, accelerating embodied intelligence adoption.

Takeaway: 众包模式为具身智能突破数据瓶颈提供新路径，普通人可参与机器人训练。 / Crowdsourcing offers new path to break data bottlenecks in embodied intelligence, enabling ordinary people to participate in robot training.

Why it matters 展示众包模式在AI训练中的创新应用，为数据采集提供可复制的商业范式。