MIT researchers developed a technique to combine robotics training data across domains, modalities, and tasks using generative AI models. They create a combined strategy from several different ...

Explore how vision-language-action models like Helix, GR00T N1, and RT-1 are enabling robots to understand instructions and act autonomously.

Cosmos Policy is a new robot control policy that post-trains the Cosmos Predict-2 world foundation model for manipulation ...

Essentially, where Large Language Models (LLMs) like ChatGPT can ingest billions of words of human writing, and teach themselves to write and code – and even reason, for god's sake – at a level ...

Russ Tedrake likes to present an eye-opener looking into what's possible now with robotics, and what is likely to be possible in the near future, as we see AI robots vault into our lives. “This is a ...

University of Surrey as a Lecturer in Robotics and is a Royal Society Short Industry Fellow. His research focuses on robotic perception, learning, and collaboration, approaching these challenges ...

Packing the car for a road trip might seem like a straightforward enough task, but it’s never been an easy one for robots to learn—until a new study turned the robot training over to artificial ...

After a decade in manufacturing, Sze Yuan Cheong co-founded Devol Robots to close the gap between robotic theory and ...

(Nanowerk News) A new, potentially revolutionary artificial intelligence framework called “Blackout Diffusion” generates images from a completely empty picture, meaning that the machine-learning ...

Diffusion models gradually refine and produce a requested output, sometimes starting from random noise—values generated by the model itself—and sometimes working from user-provided data. Think of ...