ALOHA pi0.5 trained checkpoint

This repository contains a pi0.5 / LeRobot policy checkpoint trained for an ALOHA dual-arm manipulation assignment.

Contents

  • model.safetensors: trained policy weights
  • config.json: policy configuration
  • train_config.json: training configuration
  • policy_preprocessor.json and processor weights
  • policy_postprocessor.json and processor weights

Training summary

  • Training run: outputs/train_20260509_025424
  • Final checkpoint: step 20000
  • Dataset: binomialdist/lerobot-aloha-dataset
  • State/action dimension: 14
  • Cameras: cam_high, cam_left_wrist, cam_right_wrist
  • Action chunk size: 50

Source note

This checkpoint is provided for course verification. See the accompanying project README/report for environment setup, inference server usage, and experiment analysis.

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Safetensors
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