"This work is a departure from how robots are programmed today. The status quo of programming robots is thousands of hours of tele-operation to teach the robot how to do tasks.

RHyME paves the way for robots to learn multiple-step sequences while significantly lowering the amount of robot data needed for training, the researchers said.

Gen AI models aren’t just good for creating pictures—they can be fine-tuned to generate useful robot training data, too.

Instead of designing a humanoid robot with AI reasoning and neural networks, you can just teach it yourself. Researchers at Stanford University developed a robot that can imitate what you’re doing in ...

Scientists have discovered how to build robots out of rice paper, opening up brand new possibilities for robotic applications. A team from the University of Bristol discovered that the same ...