Instructions to use dashi/microduck-backroll with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Microduck
How to use dashi/microduck-backroll with Microduck:
# Replace SLOT with the slot specified in the model card (walk, stand, sitstand, ground_pick, kick_left, kick_right, roulade). sudo robotctl policy load SLOT dashi/microduck-backroll
- Notebooks
- Google Colab
- Kaggle
publish backroll: perpetual, Mjlab-GotATalent-MicroDuck
Browse files- README.md +1 -1
- checkpoint.pt +1 -1
- manifest.json +2 -2
- policy.onnx +1 -1
README.md
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@@ -29,7 +29,7 @@ The observation normalizer is baked into `policy.onnx`; feed raw observations.
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- **repo**: `https://github.com/bxshi/microduck-challenges.git`
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- **branch**: `HEAD`
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- **commit**: `a15317f40`
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- **checkpoint**: `
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- **seed**: `1`
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- **base**: `mjlab-microduck 0.1.0 @ 8d0dbc94c`
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- **started**: `2026-10-22T07:55:17Z`
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- **repo**: `https://github.com/bxshi/microduck-challenges.git`
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- **branch**: `HEAD`
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- **commit**: `a15317f40`
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- **checkpoint**: `1750`
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- **seed**: `1`
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- **base**: `mjlab-microduck 0.1.0 @ 8d0dbc94c`
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- **started**: `2026-10-22T07:55:17Z`
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checkpoint.pt
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version https://git-lfs.github.com/spec/v1
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size 4849589
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version https://git-lfs.github.com/spec/v1
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oid sha256:4c4aa15f54c2cd8019c6f1fade3412041189c3d7c134485cf8d179079e2393eb
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manifest.json
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"base": "mjlab-microduck 0.1.0 @ 8d0dbc94c",
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"started": "2026-10-22T07:55:17Z",
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"task_id": "Mjlab-GotATalent-MicroDuck",
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"checkpoint":
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"source_file": "
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},
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"arena": {
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"event": "got-a-talent"
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"base": "mjlab-microduck 0.1.0 @ 8d0dbc94c",
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"started": "2026-10-22T07:55:17Z",
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"task_id": "Mjlab-GotATalent-MicroDuck",
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"checkpoint": 1750,
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"source_file": "model_1750.pt"
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},
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"arena": {
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"event": "got-a-talent"
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policy.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 793757
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version https://git-lfs.github.com/spec/v1
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oid sha256:4da30d56c382f5b7de0dbe345e6d7d3340f967112682e57a01d5d4a87fda72f6
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size 793757
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