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

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 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 ...

Training leap: A new AI method enables robots to transfer simulation-learned skills to real-world tasks with limited ...

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

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

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.

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 ...

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 ...

Researchers have developed an AI training method that enables robots to transfer skills learned in simulation into real-world ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...