A technician uses two joysticks to teleoperate small robotic arms that fold T-shirts. Larger robots shuffle pantry goods ...

ChatGPT and other AI tools are upending our digital lives, but our AI interactions are about to get physical. Humanoid robots trained with a particular type of AI to sense and react to their world ...

Understanding intelligence and creating intelligent machines are grand scientific challenges of our times. The ability to learn from experience is a cornerstone of intelligence for machines and living ...

What if robots could learn to adapt to their surroundings as effortlessly as humans do? The rise of quadruped robots, like Boston Dynamics’ Spot, is turning this vision into reality. By integrating ...

Most robots are preprogrammed to perform specific functions, but Figure's humanoid Figure 01 machine — that learns by watching and corrects its own mistakes — might upend the field. When you purchase ...

A simulation-trained DoorMan system helps a Unitree G1 outperform human operators in door opening speed and reliability.

Deepreinforcement learning has disadvantages such as low sample utilization and slow convergence, and thousandsof trial-and-error iterations are required to perform ...

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 ...

(THE CONVERSATION) Understanding intelligence and creating intelligent machines are grand scientific challenges of our times. The ability to learn from experience is a cornerstone of intelligence for ...