Instructions to use pollen-robotics/microduck-sprint-2m-reference with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Microduck
How to use pollen-robotics/microduck-sprint-2m-reference with Microduck:
sudo robotctl policy load walk pollen-robotics/microduck-sprint-2m-reference
- Notebooks
- Google Colab
- Kaggle
Nico-robot HF Staff
publish sprint-2m-reference: perpetual, Mjlab-Sprint2m-MicroDuck
3e59e80 verified Download manifest.json from pollen-robotics/microduck-sprint-2m-reference: direct link, hf CLI and curl.
- Browser
- Download file 1.54 kB
-
https://huggingface.co/pollen-robotics/microduck-sprint-2m-reference/resolve/main/manifest.json
- Command line
-
hf download hf://pollen-robotics/microduck-sprint-2m-reference/manifest.json
-
curl -L -o manifest.json https://huggingface.co/pollen-robotics/microduck-sprint-2m-reference/resolve/main/manifest.json
1.54 kB
| { | |
| "schema_version": 2, | |
| "model_api": 1, | |
| "obs_len": 61, | |
| "action_len": 14, | |
| "robot": { | |
| "model": "microduck", | |
| "hw_rev": 1, | |
| "servos": "xl330", | |
| "control_hz": 50, | |
| "accessories": [] | |
| }, | |
| "name": "sprint-2m-reference", | |
| "kind": "perpetual", | |
| "entry_pose": "standing", | |
| "description": "Pollen's reference for the Microduck Arena's 2 m Sprint: the sprint_2m challenge of microduck-challenges trained unchanged with its recipe (4096 envs, 3000 iterations, seed 1); checkpoint 1000, its fastest on the Arena.", | |
| "command": { | |
| "encoding": "constant", | |
| "idle": [ | |
| 0.0, | |
| 0.0, | |
| 0.0 | |
| ], | |
| "twist": "[forward speed m/s, lateral speed m/s, yaw rate rad/s]; the Arena commands [vx, 0, 0]", | |
| "head": "unused (zeros)", | |
| "body": "unused (zeros)" | |
| }, | |
| "duration_s": null, | |
| "slot": "walk", | |
| "training": { | |
| "repo": "https://github.com/pollen-robotics/microduck-challenges.git", | |
| "commit": "7a668f11c", | |
| "branch": "heading-hold", | |
| "dirty": false, | |
| "command": [ | |
| "train", | |
| "Mjlab-Sprint2m-MicroDuck", | |
| "--env.scene.num-envs", | |
| "4096", | |
| "--agent.max-iterations", | |
| "3000", | |
| "--agent.seed", | |
| "1", | |
| "--agent.logger", | |
| "tensorboard", | |
| "--agent.run-name", | |
| "reference" | |
| ], | |
| "seed": 1, | |
| "base": "mjlab-microduck 0.1.0 @ 981a279c6", | |
| "started": "2026-09-28T15:04:10Z", | |
| "task_id": "Mjlab-Sprint2m-MicroDuck", | |
| "checkpoint": 1000, | |
| "source_file": "model_1000.pt" | |
| }, | |
| "arena": { | |
| "event": "sprint-2m" | |
| } | |
| } | |