For years, Tesla has promised a fleet of fully autonomous robotaxis that would allow owners to earn income while their cars sit idle. Yet repeated missed deadlines have fueled skepticism. Just yesterday, we highlighted several shortcomings that make Tesla's current robotaxi service inadequate for widespread adoption, with limited geographic coverage and low vehicle availability. However, a keen reader named Ole Laursen pointed us to a development that hasn't been widely reported: Tesla is now quietly rolling out more unsupervised robotaxis in select areas.
A Reader's Observation on Unreported Progress
Ole Laursen, a long-time follower of Tesla's autonomous driving progress, noted that recent software updates and fleet data indicate an increase in the number of vehicles operating without a human supervisor. While Tesla's official communications have focused on supervised Full Self-Driving (FSD) beta, evidence from crowdsourced tracking suggests that a small but growing number of Model 3 and Model Y vehicles are now running in fully autonomous mode during off-peak hours. This represents a significant step toward the company's long-standing goal, though it remains far behind Elon Musk's earlier timelines.
What Unsupervised Robotaxis Entail
Unsupervised robotaxis refer to vehicles that can operate without a human driver present, handling all driving tasks from navigation to obstacle avoidance. For Tesla, this requires not only mature FSD software but also robust safety systems, redundant hardware, and regulatory approval. Unlike competitors such as Waymo or Cruise, which rely on expensive lidar and high-definition maps, Tesla's approach is vision-based, using cameras and neural networks. This makes the achievement both more challenging and more scalable if solved.
Current Deployment Scale and Locations
According to internal data shared by community trackers, Tesla has reportedly activated unsupervised operation for a few dozen vehicles in parts of California, Texas, and Nevada. These are likely company-owned test vehicles, not customer cars. The robotaxis are running in low-density suburban areas and during times of low traffic to minimize risk. Tesla has not officially confirmed the expansion, but multiple independent reports corroborate the sightings.
Why This Matters for Tesla's Robotaxi Ambitions
The move is significant because it demonstrates that Tesla's end-to-end neural network approach can handle real-world scenarios without human intervention, at least in constrained environments. It also addresses criticisms that Tesla has only been testing with safety drivers. A successful unsupervised rollout could accelerate regulatory approval and public trust. However, the limited scale means that the massively missed targets of 1 million robotaxis by 2020 are still a distant memory.
Remaining Challenges
Despite this progress, several hurdles remain:
- Geographic limitations: The current unsupervised fleet operates only in a few municipalities with favorable weather and simple road layouts.
- Low volume: With fewer than 100 robotaxis, the service is nowhere near the revenue-generating fleet Musk envisioned.
- Regulatory uncertainty: Most states require permits and extensive data submissions before expanding unsupervised operations.
- Safety concerns: Past accidents with FSD beta highlight the risks of vision-only autonomy.
How Tesla Compares to Competitors
Waymo and Cruise have already deployed unsupervised robotaxis in certain cities, but with far more expensive hardware. Tesla's potential advantage is cost: if the approach works, it can be deployed on any vehicle without retrofitting. However, competitors have logged millions of miles with safety data that regulators trust. Tesla has been slower to release safety statistics, which remains a point of contention.
The Road Ahead for Tesla's Robotaxi Network
Ole Laursen's observation suggests that the company is not abandoning its ambitions. If the current unsupervised test fleet expands and proves reliable, we could see a broader rollout within a year. Tesla would then need to address the remaining challenges outlined above. For now, the robotaxi dream is alive, but it remains a work in progress—one that requires continued scrutiny as it moves from supervised to unsupervised operations.
This article is based on reader feedback and independent reports. We will continue to track Tesla's robotaxi developments and provide updates as more information becomes available.