Rivian aims to ship supervised point-to-point self-driving capabilities on its second-generation vehicles and R2 SUVs later in 2026, marking a significant step beyond current driver assistance. The company positions this new system as comparable to Tesla’s Full Self-Driving (FSD) though with distinct sensor technologies and a more affordable price.

  • Supervised point-to-point self-driving to debut on Gen 2 and R2 models in 2026
  • Eyes-off unsupervised autonomy targeted for 2027, robotaxi service with Uber from 2028
  • Rivian’s Autonomy+ package priced significantly below Tesla FSD

What happened

Rivian CEO RJ Scaringe announced the company will launch supervised point-to-point self-driving on all second-generation Rivian vehicles, including the newly delivered R2 SUVs, by the end of 2026. This technology extends Rivian’s current driver assistance offerings by enabling autonomous navigation for entire trips between specified start and endpoints, akin to Tesla’s Full Self-Driving supervised feature. The rollout will be a major capability expansion beyond Universal Hands-Free, which currently manages only steering and speed on certain marked roads without handling urban complexities like traffic lights or roundabouts.

Scaringe also shared a broader three-stage autonomy roadmap: 2027 will see an introduction of eyes-off unsupervised driving, pushing towards Level 3 autonomy, followed by a commercial autonomous robotaxi service in partnership with Uber scheduled for 2028. The Uber deal involves a $1.25 billion investment and plans to deploy up to 50,000 fully autonomous R2 robotaxis across multiple US cities by 2031. Rivian’s autonomy system differs from Tesla’s camera-only approach by integrating multiple sensor types including cameras, radar, ultrasonic sensors, LiDAR, and high-precision GPS.

Why it matters

Rivian stepping into the supervised point-to-point autonomy space marks a pivotal moment in the EV and self-driving landscape, directly challenging Tesla’s dominance in this feature. The capability to handle entire trips without constant driver input is among the most difficult technology milestones for autonomous vehicles, especially beyond controlled highway driving. Rivian’s approach uses a Large Driving Model AI architecture trained end-to-end with distinct sensor fusion and reinforcement learning techniques, aiming to improve driving path prediction and decision-making over Tesla’s vision-only system.

The significantly lower pricing of Rivian’s Autonomy+ package—$2,500 upfront or about $50 monthly—versus Tesla’s $8,000 buy-in or $99 monthly subscription demonstrates a competitive strategy to grow autonomy adoption. However, Rivian has yet to demonstrate the point-to-point system in uncontrolled real-world conditions, meaning the competitive capability still remains to be proven. The eyes-off autonomy milestone in 2027 is critical for true hands-free driving and commercial applications, a goal that several companies including Tesla have struggled to deliver on within promised timelines.

What to watch next

The upcoming months will be important as Rivian begins deploying supervised point-to-point autonomy on Gen 2 and R2 vehicles and tests the system in diverse real-world environments. Observers should track Rivian’s ability to match or exceed Tesla’s FSD performance in urban and complex road scenarios where fully autonomous driving remains a challenge. Demonstrations or customer feedback regarding system reliability, safety, and ease of use will offer valuable insight into Rivian’s actual readiness for mass adoption.

Beyond 2026, Rivian’s progress toward the 2027 eyes-off unsupervised autonomy milestone will be a key indicator of how quickly the company can advance to true hands-free driving. The 2028 launch of Uber’s robotaxi service with Rivian vehicles will further test their commercial viability at scale. Success or delay in meeting these milestones will shape the competitive dynamics in the emerging autonomous vehicle market and influence future investments in robotic ride-hailing services.

Source assisted: This briefing began from a discovered source item from The Next Web. Open the original source.
How SignalDesk reports: feeds and outside sources are used for discovery. Public briefings are edited to add context, buyer relevance and attribution before they are published. Read the standards

Related briefings