PICO

Headlines · 2

1. 7h
   ¥120 a day: inside the job of collecting data for robots

   Dingjiao One spoke with five people working as embodied-AI data collectors, who spend their days teleoperating robots with VR headsets or recording household chores — folding clothes, making beds, washing dishes, labelling parcels — via UMI handheld grippers or Ego first-person cameras. Pay is tied to valid recorded hours: interviewees cited ¥120 for a day shift and ¥135 for a night shift, ¥150 after moving to parcel-labelling, about ¥5,000 a month for full-time at-home Ego collection and roughly ¥20 an hour for part-time work, with some platform tasks as low as ¥12 an hour. Workers described repetitive, physically tiring work with high turnover, daily quotas of at least three valid hours and around 85% accuracy; one team lead said a single misconfigured parameter voided several hundred hours of data.

   36氪 人工智能 · 🔥 8
2. 1d
   ScanArk raises pre-seed, closing three rounds in four months

   ScanArk (景立构), an embodied-AI infrastructure startup spun out of Tongji University's RAIL lab, announced a pre-seed round, bringing it to three rounds — seed, seed+ and pre-seed — within four months and several tens of millions of RMB in total, with investors including Xiaomiao Langcheng, Guohai Innovation Capital, a leading humanoid robotics company and an industrial investment institution. The company says its in-house models turn real environments into "native 3DGS" scenes that carry object attributes, part relationships and interaction states, letting robots act, observe outcomes and retry inside a digital replica before validating results on real hardware. Its stated approach is to first train a base model on human demonstrations, then let robots accumulate success and failure experience in resettable, parallel interactive environments.

   36氪 人工智能 · 🔥 5

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