JUICER: Data-Efficient Imitation Learning for Robotic Assembly

1 code implementation • 4 Apr 2024 • Lars Ankile, Anthony Simeonov, Idan Shenfeld, Pulkit Agrawal

While learning from demonstrations is powerful for acquiring visuomotor policies, high-performance imitation without large demonstration datasets remains challenging for tasks requiring precise, long-horizon manipulation.

Data Augmentation Imitation Learning