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 ...

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 ...

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

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 ...

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.

A few years ago, a new kind of AI called a diffusion model appeared. Today, it powers tools like Stable Diffusion and Runway Gen-2, turning text prompts into high-quality images and even short videos.