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Vision-Language-Action Models for Driving

Examining the architecture of VLA models like Alpamayo-R1 and their application in autonomous vehicle decision-making.

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The Reasoning Advantage

The superpower of a VLA is Chain-of-Thought (CoT) reasoning for driving.

Scenario: An ambulance is approaching from behind.

  • Traditional Stack: Detects object "Vehicle". Classifies as "Emergency". Triggers rule "Yield".
  • VLA:
  1.  _See_: "I see flashing lights and hear a siren behind me."
  2.  _Reason_: "This is an emergency vehicle. I need to clear the way. The right lane is empty."
  3.  _Action_: "Signal right, merge right, slow down."

This explicit reasoning makes the system more interpretable and adaptable to novel situations.

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