Robotics is entering a new phase where general-purpose learning matters as much as mechanical design. Instead of programming every behavior by hand, modern robots are increasingly expected to learn ...
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, ...
Explore how vision-language-action models like Helix, GR00T N1, and RT-1 are enabling robots to understand instructions and act autonomously.
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 ...
If generative AI improves what robots know, physical AI improves how they behave. One of humanoid robotics’ longest-standing problems is the ‘sim-to-real’ gap: policies that look agile in simulation ...
Nvidia has released DreamDojo, an open-source world model trained on 44,000 hours of human video that lets robots learn ...
It takes years of intense study and a steady hand for humans to perform surgery, but robots might have an easier time picking it up with today's AI technology. Researchers at Johns Hopkins University ...
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.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results