Imitation learning from human demonstrations has shown impressive performance in robotics. However, most results focus on table-top manipulation, lacking the mobility and dexterity necessary for generally useful tasks. In this work, we develop a system for imitating mobile manipulation tasks that are bimanual and require whole-body control. We first present Mobile ALOHA, a low-cost and whole-body
![Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation](https://cdn-ak-scissors.b.st-hatena.com/image/square/e6b95f39d1f661af6121faf4b2c73e9dc8ef8a05/height=288;version=1;width=512/https%3A%2F%2Fmobile-aloha.github.io%2Fstatic%2Fimages%2Fpreview.gif)