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What is Low-Cost Bimanual Manipulation Learning about?

This document presents a new low-cost system called ALOHA for performing fine-grained bimanual manipulation tasks using imitation learning. ALOHA uses a low-cost teleoperation setup with two robot arms to collect demonstrations. It then uses a novel imitation learning algorithm called Action Chunking with Transformers (ACT) to learn from the demonstrations. ACT learns a generative model over sequences of actions to allow the robot to complete tasks like opening a condiment lid or slotting a battery with 80-

Author

Bora Cobanoglu

Language

EN