India is quietly becoming a training floor for humanoid robots， with workers filming thousands of first-person hand tasks so AI systems can learn grasping， folding， sorting， and tool use.

This story is really about how the humanoid robot boom still depends on cheap， repetitive human labor to teach machines basic physical skill.

The problem is that robots do not fail on big plans first； they fail on tiny physical details like grip angle， finger timing， slip correction， and object contact.

That kind of knowledge is hard to code and expensive to collect.

These labs capture that missing layer by putting cameras or sensors on people and recording ordinary actions as machine-readable motion examples.

The useful part is not the towel or box itself but the sequence： where the hand starts， how force changes， when fingers adjust， and how the body recovers from small mistakes.