At the heart of this transformation is TensorFlow, Google's open-source platform that has become synonymous with machine learning. This article explores TensorFlow's capabilities within the robust and ...

[Nikodem] explains how the model was created and then refined to drive the robot by itself in a variety of race track designs. It’s a great primer on machine learning techniques applied to a ...

If you are interested in learning more about training robots using machine learning techniques and technologies you might be interested in a new Arduino project to ascertain whether a basic robot ...

In the realm of robotics, traditional machine-learning methods like reinforcement learning are typically applied to robots with well-defined moving parts, such as grippers with articulated fingers.

This course will cover a variety of machine learning approaches that allow robots to learn manipulation tasks from their own actions and experiences, as well as through interaction with humans. Topics ...

Raibert is now looking to lead a revolution in robot intelligence as well as acrobatics. And he says that recent advances in machine learning at both Boston Dynamics and another institute he ...