This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models ...

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 ...

The study of natural and artificial intelligence in physical agents has a great interest both from a scientific and technological point of view. On the one ...

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

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 ...

Training robots to execute tasks in the real world requires data — the more, the better. The problem is that creating these datasets takes a lot of time and effort, and methods don’t scale well.

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 ...

Xiaomi is best known for smartphones, smart home gear, and the occasional electric vehicle update. Now it wants a place in robotics research too. The company has announced Xiaomi-Robotics-0, an ...

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