Their machine-learning model uses images of the robot's environment to generate a 2D action space, which includes the robot and the area around it. They simulate robot motion using what is known as ...

Imagine a slime-like robot that can seamlessly change its shape to squeeze through narrow spaces, which could be deployed inside the human body to remove an unwanted item. While such a robot does not ...