“Physical AI” is having a moment. At Zoox, it’s been what we’ve been building since 2014. Zoox has been focused on a single challenge: building a purpose-built robotaxi designed to operate safely and reliably in complex urban environments. That means learning from real operational exposure across hundreds of vehicles, diverse cities, and long-tail edge cases, not just in simulation or isolated datasets, but through continuous interaction with the challenges and complexities of the road. In the inaugural episode of Inside The Ride, Co-Founder and CTO Jesse Levinson and Marc Wimmershoff talk about how Zoox has evolved since the early days, how real-world data and deployment shape the driving of today, and what’s next for Zoox as we continue to scale. Watch the full episode: https://lnkd.in/g2Kahsea #ThisIsZoox #Robotaxi #AutonomousMobility #AutonomousVehicles #AV #Zoox #Hiring
It’s an interesting experience where you need to completely trust the car during the ride, as you as a passenger for the first time can’t see and steer the car. The transformation of human car experience is moving beyond what we can imagine.
Zoox is exactly how I imagined a self driving car should look like in the future. Imagine if these would be sold to the public and you could turn one of these into an office, you can be anywhere in town at any client's meeting while still doing your work on the way.
The long tail of edge cases is probably where the hardest engineering happens 👀
Great job, guys!
The real test for robotaxis is the unglamorous edge cases: pickup accuracy, remote assistance, and blocked curbs. Those details will decide whether autonomy scales beyond mapped showcase routes.