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Home / Technology / Rivian Dives Deep into Autonomy and AI

Rivian Dives Deep into Autonomy and AI

9 Dec, 2025

•

Summary

  • Rivian announces an event dedicated to autonomy and AI on December 11.
  • The company may demonstrate its 'Universal Hands Free' driving feature.
  • A hands-off/eyes-off feature is planned for controlled conditions in 2026.
Rivian Dives Deep into Autonomy and AI

Rivian is set to unveil key advancements in vehicle autonomy and artificial intelligence during a dedicated event on December 11. This gathering will provide attendees and investors with insights into the company's strategic direction concerning self-driving technology. The focus is anticipated to be on features that allow vehicles to operate with minimal or no driver intervention.

Speculation suggests Rivian will showcase its 'Universal Hands Free' system, a feature CEO RJ Scaringe has alluded to. This demonstration could precede the release of the R2 model in 2026, which is slated to incorporate more accessible autonomous driving capabilities. The company previously indicated a hands-off, eyes-off feature for its second-generation vehicles by 2026.

Beyond driving features, the event may also delve into Rivian's sensor strategies and its use of AI for fleet learning. While concrete rollout timelines and pricing for advanced autonomous functions remain undisclosed, the Autonomy and AI day promises significant revelations about the future of Rivian's vehicle technology.

Disclaimer: This story has been auto-aggregated and auto-summarised by a computer program. This story has not been edited or created by the Feedzop team.
Rivian's 'Universal Hands Free' feature is an anticipated autonomous driving system designed to allow vehicles to operate without driver intervention.
Rivian plans to introduce a hands-off/eyes-off feature for controlled conditions by 2026, potentially to be demonstrated at their Autonomy and AI day.
Rivian's Autonomy and AI day on December 11 will focus on advancements in self-driving technology, AI initiatives, and sensor strategies.

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