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 ...

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

The realm of robotics has witnessed significant growth over the past decade, with humanoid robots capturing both the imagination and ...

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 ...

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

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 ...

A case study in aerospace manufacturing provides an overview of how physics-informed digital twin systems transform robotics processes—from adaptive process planning and real-time process monitoring ...

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.