Thrilled to share the launch of Gemini Robotics 1.5! This is a major step for generalist robots, thanks to a new motion transfer mechanism allowing zero-shot skill transfer between embodiments. I’m incredibly proud of our team's key contributions to this effort—a project I was honored to co-lead.

We're very excited to introduce TAPNext: a model that sets a new state-of-art for Tracking Any Point in videos, by formulating the task as Next Token Prediction. For more, see: tap-next.github.io

Happy to share our new paper on better diffusions with scoring rules! Check it out at arxiv.org/abs/2502.02483

A common question nowadays: Which is better, diffusion or flow matching? 🤔 Our answer: They’re two sides of the same coin. We wrote a blog post to show how diffusion models and Gaussian flow matching are equivalent. That’s great: It means you can use them interchangeably.

Hello world! Excited to (re)share from X our new paper on "Diffusion Model Predictive Control" (D-MPC). Key idea: leverage diffusion models to learn a trajectory-level (not just single-step) world model to mitigate compounding errors when doing rollouts. arxiv.org/abs/2410.05364 🧵 1/4