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

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

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

Robot navigation relies on algorithms that optimise the route a machine follows from its starting point to a goal while avoiding obstacles and minimising criteria such as time, energy consumption or ...

The rising popularity of Bausch + Lomb's daily single-use contact lenses led to a massive manufacturing challenge. To keep up with demand, the company had to quickly expand capacity at two production ...

Imagine working at a warehouse or office sometime in the near future, and you're asked to help a new trainee learn the basics ...

AgiBot, a humanoid robotics company based in Shanghai, has engineered a way for two-armed robots to learn manufacturing tasks through human training and real-world practice on a factory production ...

Making machine perception reliable enough for real deployment requires more than better AI; it requires properly calibrated ...

For the first time, new algorithms may be able to automatically explain why some self-driving cars crash – a question crucial to answer as more autonomous vehicles take to the roads.