Researchers at KCL develop algorithms that identify causes of autonomous vehicle crashes and AI system failures.

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 ...

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

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 ...

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 ...

Changingtek Robotics has launched globally its in-house developed high-precision tactile data collection hand. The device ...

The world's first humanoid robot boxing competition has packed a punch that is sure to hit hard in the fast-growing sector's development, providing a testing ground for technicians to further optimize ...

Cornerstone Robotics announced today that it received CE mark approval for its Sentire endoscopic surgical robotic platform.