Cast torch tensors in ID resolvers to int32 before giving to warp kernel

[angehu-nv]

Description

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Fixes # (issue)

Type of change

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Breaking change (existing functionality will not work without user modification)
• Documentation update

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Checklist

• I have read and understood the contribution guidelines
• I have run the pre-commit checks with ./isaaclab.sh --format
• I have made corresponding changes to the documentation
• My changes generate no new warnings
• I have added tests that prove my fix is effective or that my feature works
• I have updated the changelog and the corresponding version in the extension's config/extension.toml file
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[greptile-apps]

Greptile Summary

This PR makes PhysX articulation index resolvers accept default PyTorch integer tensors. The main changes are:

• Cast torch.int64 joint, body, and tendon IDs to torch.int32.
• Wrap PyTorch index tensors as Warp arrays before kernel use.
• Document the PhysX compatibility fix in the changelog.

Confidence Score: 5/5

This looks safe to merge.

• No blocking issues found in the changed code.
• The four resolvers apply the same conversion pattern.
• The explicit Warp-array branches preserve the previous pass-through behavior.

Important Files Changed

Filename	Overview
source/isaaclab_physx/isaaclab_physx/assets/articulation/articulation.py	Converts PyTorch index tensors into Warp-compatible int32 arrays across four articulation ID resolvers.
source/isaaclab_physx/changelog.d/angehu-torch-int64-to-32.rst	Documents the corrected handling of default-dtype PyTorch index tensors.

_{Reviews (1): Last reviewed commit: "Cast torch tensors in ID resolvers to in..." | Re-trigger Greptile}