Add robotics tag, library name, and license metadata

Hi, I'm Niels from the Hugging Face community science team.

This PR improves the discoverability of your model by adding relevant metadata to the model card:
- `pipeline_tag: robotics`: Categorizes the model under the Robotics task on the Hub.
- `library_name: transformers`: Identifies the model's compatibility with the Transformers library as specified in your software integration section.
- `license: other`: Reflects the non-commercial nature of the model weights.

I've also preserved the existing dataset links. These tags help users find and identify the model more easily when filtering on the Hugging Face Hub.

README.md

@@ -1,8 +1,12 @@
----
-datasets:
-- nvidia/PhysicalAI-Autonomous-Vehicles
-- nvidia/PhysicalAI-Autonomous-Vehicles-NuRec
----
+---
+datasets:
+- nvidia/PhysicalAI-Autonomous-Vehicles
+- nvidia/PhysicalAI-Autonomous-Vehicles-NuRec
+pipeline_tag: robotics
+library_name: transformers
+license: other
+---
+
 # Alpamayo-R1
 
 [**Code**](https://github.com/NVlabs/alpamayo) | [**Paper**](https://arxiv.org/abs/2511.00088)