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 ...

Simulating physics is central to robotics: before a robot ever moves in the real world, much of its learning, testing, and control happens in a virtual environment. But traditional simulators often ...

Researchers at Seoul National University and Kyung Hee University report a framework to control collective motions, such as ring, clumps, mill, flock, by training a physics-informed AI to learn the ...

Flexcompute, the physics company, and Northrop Grumman have developed a foundational AI infrastructure powered by NVIDIA ...

Although soft-bodied robots themselves can be fairly simple, low-cost devices, they typically require complex onboard electronics to control their locomotion. Such is not the case with a new bot, ...

Different insects flap their wings in different manners. Understanding the variations between these modes of flight may help scientists design better and more efficient flying robots in the future.