Teaching robots to manipulate objects with human-like dexterity remains one of the biggest challenges ...

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 ...

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 ...

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.

"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 ...

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 ...

Chinese robotics firm Pudu has unveiled a next-generation industrial semi-humanoid robot designed for manufacturing ...

Hyundai plans to deploy more than 25,000 Atlas humanoid robots developed by Boston Dynamics ...

Chinese robotics startup Astribot, also known as Stardust Intelligence, has unveiled one of China’s ...