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 ...

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 ...

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 ...

Outside of tightly controlled environments, most robotic systems still struggle with reliability, generalization and cost. The gap between what we can demonstrate and what we can operate at scale ...

It’s hard to ignore the buzz around artificial intelligence these days. Whether it’s the promise of smarter virtual assistants, robots that can perform backflips, or AI models that churn out lifelike ...

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.

Industrial robotics have revolutionized modern manufacturing processes, enabling businesses to improve efficiency, reduce costs and increase productivity. However, the ubiquity of industrial robots is ...