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AlohaMini2 is a $1,000 open-source robot that completed a long-horizon grocery…

Brief

AlohaMini2, a $1,000 open-source robot, autonomously completed a long-horizon grocery manipulation task using the AM-ACT policy. The policy was trained and deployed on a single consumer 8GB GPU with just 50 demonstration episodes and reports a 50% end-to-end success rate. The project is open-source (github.com/liyiteng/AlohaMin…) and accompanied by a demo video.

Why it matters

AlohaMini2 is a $1,000 open-source robot that completed a long-horizon grocery manipulation task fully autonomously.

Key details

  • The system runs the open-source AM-ACT policy, trained and deployed on a consumer 8GB GPU using only 50 demonstration episodes and achieving a 50% end-to-end success rate.
  • Code and resources are available at github.com/liyiteng/AlohaMin…; the post tags @LeRobotHF and @RemiCadene and includes a video demo.
Source evidence

AlohaMini2, a $1,000 open-source robot, just completed a long-horizon grocery manipulation task — fully autonomously.

Powered by our open-source AM-ACT policy, trained and deployed on a consumer 8GB GPU.

With only 50 demonstration episodes, it already achieves a 50% end-to-end success rate.

Affordable embodied AI is getting real.

Open-source repo: github.com/liyiteng/AlohaMin…

@LeRobotHF @RemiCadene

Video