Humanoid robots struggling with tasks like grasping a cup have a new teacher — a person wearing an ultrasound wristband that ...

Scaling embodied AI has long been bottlenecked by data. Teleoperating real robots is expensive and slow, yielding only a limited number of demonstrations per day. While robot-free data collection ...

Training the AI robots that can interact in the physical world requires a gargantuan set of relevant training data that doesn ...

A robot that performs well in a controlled simulation can struggle when real-world conditions don't match what it was trained ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Hugging Face, the open-source AI powerhouse, has taken a significant step ...

Teaching robots to manipulate objects with humanlike dexterity has long been one of robotics' toughest challenges. Tasks such ...

Tesla CEO Elon Musk said on the company's fourth-quarter earnings call that China is the biggest competition for humanoid robots.

What if robots could learn to handle objects without watching humans? The new way training data is created can shape what robots learn.

The robot, a pair of disembodied arms with crablike pincers at the end, wasn’t supposed to pick up the bag. It had been told to do a single tedious job: open plastic bags on a conveyor belt and stuff ...

Advances AI Training Data Strategy with Launch of Training Lab and Pilot Robotics Deployments in Singapore. Si ...

Teaching robots to manipulate objects with human-like dexterity remains one of the biggest challenges ...