
The future of autonomous driving is built on vision, and there is no better place to see that future take shape than at CVPR (the Conference on Computer Vision and Pattern Recognition). This June, the Tensor Robocar is heading to Denver, and we’re bringing our latest breakthrough in Physical AI with us.
CVPR is where the world's leading AI researchers gather to solve the hardest problems in Physical AI. This year, the conversation has shifted from simple object detection to generative world modeling—and that’s exactly where Tensor is leading the charge.
Our Tensor World Model represents a leap forward in how autonomous systems interact with reality. By integrating this into our stack, we’ve moved beyond "seeing" to "understanding" and "predicting":
At Tensor, we believe that meaningful progress in Physical AI requires transparency and collaboration. That’s why we are excited to feature OpenTau.
OpenTau is our open-source training toolchain for frontier Vision-Language-Action (VLA) models. It is designed to make training reproducible, accessible, and scalable for the entire robotics and autonomous driving community. Whether you are working on co-training across heterogeneous datasets or discrete action modeling, OpenTau provides the infrastructure to move faster together.
Visit Us & See the Tensor Robocar at Booth 507
We’re bringing the lab to the showroom floor! We invite you to stop by our booth to see a Tensor Robocar in person. Get a close-up look at how our hardware and software stack interact to navigate complex environments in real-time.
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See you in Denver!