Tensor debuts its AI-first Robocar at CES, powered by NVIDIA Blackwell chips and built for Level 4 autonomy.
Tensor has unveiled its personal Robocar at CES, positioning it as an AI-first autonomous vehicle built from the ground up for Level 4 driving rather than a conventional EV retrofitted with autonomy.The vehicle is powered by an in-vehicle supercomputer built around eight NVIDIA DRIVE AGX Thor system-on-chips based on the Blackwell GPU architecture.
The setup delivers more than 8,000 TOPS of GPU computing power, allowing the Robocar to process massive volumes of sensor data in real time.Tensor frames the platform as a rolling data center, with autonomy as its core function rather than an add-on feature.Tensor said the Robocar was designed specifically for private ownership while meeting commercial-grade autonomy requirements.The company has spent more than nine years developing the platform and holds one of Californias earliest driverless testing permits for passenger vehicles.AI-first vehicle architectureThe Robocar architecture is designed entirely around AI control. Compute, sensors, steering, braking, and charging systems are all integrated into a unified autonomy stack rather than operating as independent subsystems.The vehicle sits on an SUV-sized platform with a reported drag coefficient of 0.253, balancing aerodynamic efficiency with interior space for sensors and compute hardware.Perception is handled through a dual-lidar setup consisting of Halo and Sentinel systems.Halo hyper-lidar provides 360-degree coverage with up to 25.6 million beams per second, while Sentinel lidar focuses on blind-spot and near-field detection. The approach avoids reliance on a single lidar by layering redundant perception systems.The sensor suite combines lidar, radar, cameras, and microphones into a single situational awareness stack.Tensor said the system emphasizes contextual understanding rather than simple object detection, allowing the AI to adapt to complex and unpredictable real-world driving conditions.Redundancy meets autonomy scaleSafety is built around full drive-by-wire redundancy.The Robocar uses fully redundant steer-by-wire and brake-by-wire systems, including four-wheel steering developed with ZF and braking systems integrating Bosch ESP10, DPB 2.0, and redundant electronic parking brakes. The design removes mechanical single points of failure.The vehicle also supports autonomous ultra-fast charging. It features an auto-opening charge port and compatibility with Rocsys and Brose robotic charging systems, allowing it to recharge without human intervention.Tensor said the Robocar can charge from 20 to 80 percent in around 10 minutes at an average power of roughly 400 kW and supports both 500V and 750V architectures.Externally, the Robocar uses RGB Mini-LED display panels to communicate intent to pedestrians and cyclists, improving human-robot interaction in poor visibility or dense urban settings.Inside, the vehicle features what Tensor describes as the world’s first mass-produced foldable steering wheel, developed with Autoliv and ZF, reinforcing its transition between manual and autonomous operation.On the partnership side, Lyft executives framed the collaboration as a shift in vehicle economics. “What’s exciting about Tensor is they’re advancing the opportunity that Lyft already creates,” said Jeremy Bird, executive vice president of driver experience at Lyft.The deliveries are targeted for late 2026, with the first Lyft-ready markets planned for 2027, subject to regulatory approvals.For ongoing news, in-depth reporting, and key developments from CES 2026, read the IE team’s coverage here.
Autonomous Charging CES Autonomous Vehicle Drive-By-Wire Level 4 Autonomy Lyft-Ready AV NVIDIA DRIVE AGX Thor Tensor Robocar
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