Their LucidSim system combines generative AI with physics simulators to enable a quadruped robot to learn from synthetic data ...

By watching their own motions with a camera, robots can teach themselves about the structure of their own bodies and how they move, a new study by researchers at Columbia Engineering now reveals.

It's clear that if we can build physical AI systems for enterprises with rich and accurate data, there lies the potential for ...

Machine learning is a multibillion-dollar business with seemingly endless potential, but it poses some risks. Here's how to ...

PyTorch, developed by Facebook's AI Research Lab, is another popular deep learning framework. It is favored for its dynamic ...

This paper analyzes FMs into robotics, explores the potential of 6G technology for robotics, and introduces a prototype 6G ...

It’s almost time for the AI event of the year, NVIDIA GTC. Thousands of developers, innovators, and business leaders are ...

OSARO ®, a global leader in machine-learning-enabled robotics for high-volume fulfillment centers, has secured a patent for 'Computer-Automated Robot Grasp Depth Estimation,' a groundbreaking ...