Industrial automation is entering a new era with physical AI, where machine learning meets real-world motion control. AI-driven robotics and digital twins are closing the gap between simulation and ...

From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...

As generative AI continues reshaping industries worldwide, enterprises are accelerating adoption across production, ...

By combining soft materials, cloud-scale simulation, and learning from human motion, researchers are teaching robots to grasp ...

Step inside the Soft Robotics Lab at ETH Zurich, and you find yourself in a space that is part children's nursery, part ...

Stanford researchers have become the first to demonstrate that machine-learning control can safely guide a robot aboard the ISS, laying the groundwork for more autonomous space missions. Subscribe to ...

The new training method doesn't use sensors or onboard control tweaks, but a single camera that watches the robot's movements and uses visual data. When you purchase through links on our site, we may ...

AI robot on the ISS navigates 50–60% faster using machine learning, marking a major step toward autonomous space missions.

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a specific approach to reach the same goal.