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

While the statement, "Humanoid robots are coming," might cause anxiety for some, for one Georgia Tech research team, working with humanlike robots couldn't be more exciting. The researchers have ...

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.

Scientists at Tarim University of China have proposed a way to address the challenging problem of pose recognition for photovoltaic panel cleaning robots. Their novel solution is based on a low power ...

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 ...

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

In an era where technological advancement is primarily driven by modern machines and artificial intelligence, fascinating biological behaviors continue to provide valuable insights to experts. A prime ...

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

Most robots have fixed body designs that cannot adapt to new environments or survive damage, making them fragile outside controlled settings. Researchers used AI-driven evolution and Lego-like modular ...

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