Moving from supervised autonomy to a fully commercial driverless network requires more than just advanced neural networks. It requires a well-thought-out framework that can deal with edge cases and emergencies. That’s why Tesla recently published its Robotaxi First Responder Interaction Plan for Arizona, which offers a closer look at how Tesla intends to cooperate with first responders. The document identifies the upcoming Robotaxi fleet as an SAE Level 4 autonomous system. It outlines exactly how these autonomous vehicles will navigate restricted areas, interact with police, and handle severe weather. Navigating Active Emergencies Just like the current versions of FSD (Supervised), the Robotaxi stack is trained to automatically yield to emergency vehicles with lights and sirens. If a Robotaxi ever needs to be pulled over by police, it will automatically pull over when a police vehicle with active lights is behind it. However, Tesla did note a specific caveat for divided highways. In high-speed zones, Robotaxi may be slower to yield as it searches for a safe location to pull over. For incident scenes, FSD relies on vision to recognize and respond to first responders' physical hand signals. Robotaxi will also be able to follow newly established routes with cones just like FSD does today, which is an excellent example of how well Tesla’s generalized approach to autonomy works. Tesla’s First Responder Support Team To prevent the driverless fleet from interfering with major emergencies, Tesla has established a dedicated Robotaxi First Responder Support team. Police dispatchers can coordinate with this team to establish temporary geofences that completely block robotaxi vehicles from routing through accident scenes or around restricted zones. What Happens in a Collision If a Robotaxi is involved in a collision, the vehicle executes an automated safety sequence. The car will rapidly flash its hazard lights once it comes to