Helix Learns to Fold Laundry

What this post added

The Helix VLA model architecture was applied to the new task of laundry folding without modifications. This involved training on a new dataset specifically for this task, demonstrating the model's ability to generalize to deformable object manipulation. Key capabilities demonstrated include picking from a mixed pile, adaptive folding strategies, error recovery, and fine manipulation skills like edge tracing and corner pinching. The system operates end-to-end, directly mapping vision and language input to motor control, bypassing explicit object representations for deformable items.