Instrumentation for Imitation Learning: Enhancing Training Datasets for Clothes Hanger Insertion
The study compared imitation learning policies using only vision versus those incorporating sensor data from a clothes hanger. Policies with instrumentation outperformed vision-only models by 14–25% and showed better task awareness, proving that black-box learning can automatically prioritize critical sensor signals without explicit instructions.