RLWRLD uses MANUS gloves in industrial dexterity data collection
RLWRLD described MANUS gloves as part of its workflow for capturing skilled human manipulation data for physical-AI training.
Why it matters
The use case documents MANUS gloves inside RLWRLD's active human-demonstration collection workflow without implying purchase volume, exclusivity or a robot product task mapping.
Evidence notes
- The programme records real work such as textile folding, warehouse handling and convenience-store tasks.
- The gloves capture finger articulation for teleoperation, simulation or dataset-collection pipelines.
- RLWRLD described a data-collection workflow without publishing purchase volumes or supplier exclusivity.
Company context
South Korean physical AI startup building robotics foundation models trained directly in live industrial environments (factories, logistics centers). Focuses on solving sim-to-real gap through real-world data collection via strategic partners.