OM-1 Humanoid Learns Manipulation from Sensorized-Glove Data
Learning manipulation from wearable glove data rather than teleoperation could cut the cost of collecting robot training data at scale. Teams building humanoid or manipulation systems should watch whether this data pipeline generalises beyond stairs and walking. It compares favourably with teleoperation-heavy pipelines used by most humanoid labs today.
