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Update the mimic teleop doc to link to the locomotion policy training #4053
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Update the mimic teleop doc to link to the locomotion policy training #4053
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Greptile OverviewGreptile SummaryAdded informational note about the AGILE locomotion policy training framework to the humanoid locomanipulation demo documentation. The note provides context about where the locomotion policy comes from and links to the official AGILE GitHub repository for users who want to train their own policies.
Confidence Score: 5/5
Important Files ChangedFile Analysis
Sequence DiagramsequenceDiagram
participant Author
participant Docs as Documentation File
participant Reader as Documentation Reader
Author->>Docs: Add note section about AGILE
Note over Author,Docs: Inserts note after Demo 2 introduction
Author->>Docs: Add AGILE framework link
Author->>Docs: Explain locomotion policy training
Note over Docs: RST note directive with<br/>formatted content
Reader->>Docs: Read Demo 2 documentation
Docs->>Reader: Display locomanipulation demo info
Docs->>Reader: Show AGILE training note
Reader->>Reader: Click AGILE GitHub link if needed
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1 file reviewed, no comments
yanchangNvidia
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Looks great. Added a few comments.
| .. note:: | ||
| **Locomotion policy training** | ||
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| The locomotion policy used in this demo was trained using the `AGILE <https://github.com/nvidia-isaac/WBC-AGILE>`__ framework. |
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How about replacing "demo" with this "integration example"?
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How about also adding information about the flexibility / advantage with separate lower body and upper body architecture?
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Done
| AGILE is an officially supported humanoid control training pipeline that will also be seamlessly integrated with other evaluation | ||
| and deployment tools across Isaac products. This allows teams to rely on a single, maintained stack covering all necessary infrastructure | ||
| and tooling for policy training, with easy export to real-world deployment. The AGILE repository contains updated pre-trained policies | ||
| that have been verified in the real world and can be directly deployed. Users can also train their own locomotion policies using the AGILE framework. |
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How about also highlighting "manager based environment" with flexibility for easy customization?
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Done
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Description
Add a short description about the locomotion policy used in the loco-manipulation teleop demo. Added a link to the AGILE training framework since it is released.
Type of change
Screenshots
Please attach before and after screenshots of the change if applicable.
Checklist
pre-commitchecks with./isaaclab.sh --formatconfig/extension.tomlfileCONTRIBUTORS.mdor my name already exists there