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Incident · Recall

Zoox recalled 332 robotaxis over unnecessary lane-crossings near intersections

In December 2025, Zoox issued a software recall covering 332 robotaxis after identifying 62 cases (between August 26 and December 5, 2025) where vehicles crossed lane markings unnecessarily near intersections; some partial, some fully into opposing lanes. The issue was first detected in late August after a robotaxi made a wide right turn and paused partially in the opposing lane in front of oncoming traffic. No collisions were associated with the issue, but Zoox told NHTSA it could increase crash risk. This was Zoox's third software recall in 2025 (after the March braking and May Las Vegas recalls), totaling nearly 900 vehicles across the three.

Occurred 2025-12-23 · Zoox Robotaxi · Zoox

Track Zoox recalled 332 robotaxis over unnecessary lane-crossings near intersections

Machine-readable surfaces

Outcomes (1)

  • regulatory actionverified

Revision history (1)

  • 2026-06-05 · outcome_class

Outcome rows carry verification_posture independently. Revision events carry basis (verified_court_filing, verified_insurance, reported_press, estimate, undisclosed). The framework records outcomes only when verifiable; absence is honest absence, not a claim of no-impact.

Sources (5)

  1. 332-vehicle recall, 62 lane-crossing cases Aug-Dec 2025, third recall of the year · https://interestingengineering.com/transportation/amazon-robotaxis-software-recall · 2025-12-23
  2. Zoox lane-crossing recall; no collisions but increased crash risk · https://techcrunch.com/2025/12/23/zoox-issues-software-recall-over-lane-crossings/ · 2025-12-23
  3. https://www.nasdaq.com/articles/amazons-zoox-recalls-332-vehicles-over-ads-software-error · 2025-12-23
  4. https://static.nhtsa.gov/odi/rcl/2025/RCLRPT-25E090-1680.pdf
  5. https://www.eweek.com/news/zoox-robotaxi-recall/

Common questions

What happened in Zoox recalled 332 robotaxis over unnecessary lane-crossings near intersections?
In December 2025, Zoox issued a software recall covering 332 robotaxis after identifying 62 cases (between August 26 and December 5, 2025) where vehicles crossed lane markings unnecessarily near intersections; some partial, some fully into opposing lanes. The issue was first detected in late August after a robotaxi made a wide right turn and paused partially in the opposing lane in front of oncoming traffic. No collisions were associated with the issue, but Zoox told NHTSA it could increase crash risk. This was Zoox's third software recall in 2025 (after the March braking and May Las Vegas recalls), totaling nearly 900 vehicles across the three.
When did this incident occur?
The incident is recorded as occurring on December 23, 2025 on the DEPLOY registry. The date reflects the underlying real-world event, not the registry record's creation date.
What robot was involved in Zoox recalled 332 robotaxis over unnecessary lane-crossings near intersections?
Zoox Robotaxi by Zoox is the recorded robot involved in this incident.
Has anyone responded to Zoox recalled 332 robotaxis over unnecessary lane-crossings near intersections?
No responses to this incident are recorded on the DEPLOY registry. Operators, manufacturers, or affected parties can submit responses to the editorial team; absence is not a guarantee no response was issued.
What is the current status of Zoox recalled 332 robotaxis over unnecessary lane-crossings near intersections?
This incident is an active record on the DEPLOY registry; no retraction or correction has been issued.
Methodology: Verified · 5 sources (1 primary) · last reviewed 2026-06-24

Verification posture

Verified

High confidence

Review state

Stable

Last reviewed 2026-06-24

Sources by quality tier

3
unclassified
Unclassified source
1
secondary-industry-publication
Industry publication
1
primary-regulatory-filing
Regulatory filing

The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.

Methodology surface for Zoox recalled 332 robotaxis over unnecessary lane-crossings near intersections.

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Canonical ID dbb3aae9-5cb2-4bbc-83da-f4eec91730b8