A sim-to-real pipeline decomposes robotic hanger insertion into two learned action primitives and achieves 75% success on eight unseen real garments.
Bag all you need: Learning a generalizable bagging strategy for heterogeneous objects,
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RoboHanger: Learning Generalizable Robotic Hanger Insertion for Diverse Garments
A sim-to-real pipeline decomposes robotic hanger insertion into two learned action primitives and achieves 75% success on eight unseen real garments.