Pi 机器人在 Dandelion Chocolate 全自主叠箱数小时
A video from a Pi robot deployed at Dandelion Chocolate, fully autonomous w/ no interventions. 🤖
Chelsea Finn 发布视频显示，部署在 Dandelion Chocolate 的 Pi 机器人实现完全自主、无人工干预运行。她指出，最难的不是抓取箱子，而是可靠堆叠：原桌面机器人需额外摄像头才能看清堆叠，且每次放置位置不同、精度不足会导致整摞箱子在多次操作后倒塌。该部署近期改用移动机器人，可连续数小时自给自足，其真实场景数据与反馈对 π 预训练模型扩展很有价值。
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A video from a Pi robot deployed at Dandelion Chocolate, fully autonomous w/ no interventions. 🤖
Deploying robots has taught us surprising lessons about the gap between proof-of-concept (i.e. building one box) and real-world utility (productively building boxes for hours).
I expected that the hard part is building the box, since it’s the most dexterous, but that wasn't what we found. Counterintuitively, the hardest part was reliably stacking the boxes. Our original table-mounted robot had poor visibility of the stack without special separately-mounted cameras. Plus, stacking requires more generalization (each box is placed in a different location), and an imprecisely-placed box can lead the entire stack to collapse many boxes later.
We recently switched this deployment over to a mobile robot, and it's fun to watch the robot being completely self sufficient for multiple hours. 🙂 Data and feedback from real world use-cases like these are quite valuable for the π pre-trained model as we scale!