Robotics is entering a new phase where general-purpose learning matters as much as mechanical design. Instead of programming ...

Nvidia-led researchers unveiled DreamDojo, a robot “world model” trained on 44,000 hours of human egocentric video to help ...

Foundation models have made great advances in robotics, enabling the creation of vision-language-action (VLA) models that generalize to objects, scenes, and tasks beyond their training data. However, ...

What if a robot could not only see and understand the world around it but also respond to your commands with the precision and adaptability of a human? Imagine instructing a humanoid robot to “set the ...

DreamDojo is trained on what the team calls a large-scale video dataset of human activity, captured from an egocentric (first-person) perspective. This dataset, named DreamDojo-HV, comprises 44,000 ...

Microsoft introduces Rho-alpha, an AI that understands human commands and controls two-armed robots with near-human precision.

Atlas, the humanoid robot famous for its parkour and dance routines, has recently begun demonstrating something altogether more subtle but also a lot more significant: It has learned to both walk and ...

Most robot headlines follow a familiar script: a machine masters one narrow trick in a controlled lab, then comes the bold promise that everything is about to change. I usually tune those stories out.