给机器人当老师,还能赚外快?“中国版Index”觅蜂派来了
AI 导读
众包数采无本体数据具身智能MEgo设备数据闭环
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.
重点速览
- 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.
一句话: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.
推荐理由 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。
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