ACT banana pick โ€” dual arm (3 cameras)

Dual-arm ACT policy checkpoint for the banana-pick task with its Ascend OM compile and short verification clips. Legacy flat layout (no v3 inference manifest).

  • Model type: ACT (Action Chunking Transformer)
  • Source dataset: dual_arm/yzh/yzh_0606

Observations / actions

stream shape
observation.state 12 (6 per arm)
observation.images.top 3ร—240ร—320
observation.images.left 3ร—240ร—320
observation.images.right 3ร—240ร—320
action 12

Files

  • pytorch_model/ โ€” PyTorch ACT weights (model.safetensors, ~2.3 GB), processor configs, train_config.json, and a Torch-side verification video
  • om_model/ โ€” Ascend OM compile (model.om, ~923 MB) with config.om.json (schema v1, ascend_om backend) and an OM-side verification video

Usage

Load the Torch checkpoint with LeRobot's ACT policy class. The OM artifact targets the Ascend (310P/310B) deployment of the same policy. For the current IB-Robot v3-bundle deployment path, see openEuler/IB_Robot_ACT_banana_pick_distill (single-arm distilled variant).

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