A robot trained on 100 percent synthetic data can climb stairs, clamber over boxes, and chase a soccer ball in the real world.

Teaching robots to navigate new environments is tough. You can train them on physical, real-world data taken from recordings ...

LucidSim uses generative AI and simulators to create virtual training environments that help robots learns tasks without real-world data.

Taiwanese robotics firm Delta Electronics has announced a breakthrough in robotics simulation. Its D-Bot Series Collaborative ...

Project GR00T is an initiative from Nvidia that provides developers with AI foundation models for general-purpose humanoid ...

A team of roboticists and engineers at MIT CSAIL, Institute for AI and Fundamental Interactions, has developed a generative ...

MIT researchers are pioneering a new method for robot training that could create an all-purpose robot brain for all robot ...

Discover NVIDIA's revolutionary Hover controller, transforming humanoid robots with versatile task execution and seamless ...

NVIDIA's six new Project GR00T workflows provide humanoid developers with blueprints to realize the most challenging humanoid ...

Agility Robotics gives insight into how it trains its humanoid robot Digit in simulation using NVIDIA's robotics tools.

The Nvidia veteran is building a virtual world faithful to the real world so that robots can use it to practice tasks and ...

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