Inside the robotics laboratory of the Toyota Research Institute (TRI) in Cambridge, Massachusetts, a group of robots are busy cooking. There is nothing special about that; robotic chefs have been ...

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 ...

AI-enabled and virtual training gets robots to work faster—and will empower a more flexible era of automation. In partnership withSiemens Imagine the bustling floors of tomorrow’s manufacturing plant: ...

The Genesis Project represents a significant leap forward in the convergence of generative AI and physics simulation, reshaping the way robots are trained and developed. By integrating innovative ...

Robots are trained for specific tasks, such as cutting, using simulation. However, collecting real-world data is expensive, ...

Eric Chan discusses Rhoda AI's innovative approach to robotics using video data for scalable, efficient learning.

Have you ever wondered what it would take to train a robot to walk, grasp objects, or navigate a cluttered room with the same ease as a human? For many, the idea of teaching robots these complex tasks ...

The latest boom in robotics represents a revolution in the way machines have learned to interact with the world.

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. New training methods are teaching robots to learn like humans: much faster, and using much ...

A robot arm that can flawlessly sort packages inside a computer simulation will, more often than not, fumble the same task ...

Universal Robots (UR) today unveiled the UR AI Trainer at GTC 2026 in Silicon Valley. Developed in collaboration with Scale AI, the AI Trainer marks a tectonic shift as robots move from pre-programmed ...