May Mobility Plans More Than 10,000 Volkswagen ID. Buzz Robotaxis Through 2031
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May Mobility plans to deploy more than 10,000 autonomous Volkswagen ID. Buzz vehicles through 2031 as it expands robotaxi operations with fleet partners worldwide. The Ann Arbor, Michigan-based company said U.S. road testing is scheduled to begin in early 2027, with first production vehicles targeted for delivery in 2028. May Mobility will work with automotive technology company ECARX to integrate its autonomous driving kit into a self-driving version of the electric vehicle; Charlton Intelligence.ai has also joined the partnership to help deploy the vehicles.
The companies are targeting total cost savings of 50% or more compared with May Mobility’s current-generation autonomous vehicle through supply chain collaboration, according to the company. May Mobility cited the ID. Buzz’s multiple entry doors and spacious interior as features suited to passenger service. Its autonomous driving system uses a predictive world model to assess road conditions and simulate possible driving scenarios up to 10 seconds ahead before selecting a driving action. The company reported more than 600,000 commercial autonomous rides covering 1.1 million miles in the United States and Japan, including three deployments operating without onboard safety drivers.
May Mobility said it will release further details on ID. Buzz specifications, testing and deployment plans at a future date; no date for that update was disclosed. The company plans to deploy the vehicles through fleet operator partnerships. Its existing services include three U.S. locations, and it is planning a 2027 commercial launch with Uber in Arlington, Texas. In Japan, a six-month on-demand pilot with NTT Mobility began in Nagoya in September.
Original report
May Mobility Targets More Than 10K Volkswagen ID. Buzz Robotaxis Through 2031
AIInsider · Greg BockThis briefing is an independently written summary based on publicly available reporting and is provided for industry information and news discovery. The original report and source publication are credited and linked where applicable. RobotToday does not claim ownership of third-party source material.
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