This, in turn, helps us understand how the objects once moved. Even more exciting, 3D printing lets scholars create physical ...

However, despite these challenges, progress is rapid. Karpathy suggested that we are entering the era of "Software 3.0." ...

Explore how Sparc3D transforms 2D images into detailed 3D models with AI-powered efficiency and precision. Discover more.

AI sometimes thinks like humans, scientists reveal - New study reveals ChatGPT and other artificial intelligence systems ...

The result is a clean 3D image of the object, regardless of how it looks to traditional sensors. This thermal method has been in development for years. The latest leap comes from switching to a ...

Researchers at Fraunhofer IOF have been working on thermal 3D sensor technology for several years. They have now significantly enhanced this technology and achieved efficient optimization for ...

Existing MLLMs, primarily trained on 2D data, lack explicit 3D-aware representation, limiting their effectiveness in spatially-grounded tasks. We propose 3DRS, a general framework that introduces ...

difficulties of representation, and complicated dynamics. This work proposes a novel framework for elasto-plastic object manipulation with a quasi-static assumption for motions, leveraging 3D ...

Boston Dynamics designed the robot’s vision system to handle these challenges through a combination of 2D and 3D awareness, object pose tracking, and tight calibration between what it sees and does.

Abstract: While object semantic understanding is essential for service robotic tasks, 3D object classification is still an open problem. Learning from artificial 3D models alleviates the cost of the ...