Reinforcement learning (RL) for robotics is often associated with large GPU clusters, distributed infrastructure, and x86-based development environments. Training a humanoid robot with high-fidelity ...

"We've had a bit of a breakthrough." Toyota, MIT and Columbia Engineering have shown off wild results from a new AI learning approach that massively accelerates how quickly robots can acquire new ...

Boston-based robotics startup Automated Tire this week unveiled an AI-powered robotic tire-changing platform called SmartBay ...

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 a step toward robots that can learn on the fly like humans do, a new approach expands training data sets for robots that work with soft objects like ropes and fabrics, or in cluttered environments.

A new study from researchers at the University of Michigan shows that feeding a robot fabricated or augmented data when no data sets were available increases the ability of that robot’s performance by ...