1. [Publications](/publications)
2. Alpamayo 1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail
 
 # Alpamayo 1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail

  ![](/sites/default/files/styles/wide/public/publications/Alpamayo%20v1.png?itok=B9OnyDO6)

 We introduce Alpamayo 1, a vision–language–action model (VLA) that integrates Chain of Causation reasoning with trajectory planning to enhance decision-making in complex driving scenarios.

Comprehensive evaluations with open-loop metrics, closed-loop simulation, and real-world vehicle tests demonstrate that Alpamayo 1 is state-of-the-art in multiple aspects (including reasoning, trajectory generation, alignment, safety, latency, and more).

By bridging interpretable reasoning with precise control, Alpamayo 1 demonstrates a practical path toward Level 4 autonomous driving.

Dataset available [here](https://huggingface.co/datasets/nvidia/PhysicalAI-Autonomous-Vehicles).



 ## Authors



[Marco Pavone](/person/marco-pavone)

Many other contributors found on Page 33 (NVIDIA)

 

 

 ## Publication Date



Tuesday, October 28, 2025

 

 ## Research Area



[Artificial Intelligence and Machine Learning ](/research-area/machine-learning-artificial-intelligence)

[Autonomous Vehicles](/research-area/autonomous-vehicles)

[Computer Vision](/research-area/computer-vision)

[Generative AI](/research-area/generative-ai)

[Natural Language Processing](/research-area/natural-language-processing)

[Physical AI](/research-area/physical-ai)

 

 

 ## External Links



[Code](https://github.com/NVlabs/alpamayo)

[Model Weights](https://huggingface.co/nvidia/Alpamayo-R1-10B)

 

 

 ## Uploaded Files



[Alpamayo 1.pdf](https://d1qx31qr3h6wln.cloudfront.net/publications/Alpamayo%201_2.pdf "Open file in new window")8.21 MB