From robotic grippers to machine vision and artificial intelligence, progress is accelerating in automated manipulation. In ...

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

As Californian companies race to manufacture and deploy thousands of humanoid robots in the coming year, another new class of ...

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

See the top humanoid robots built for factory work, including Tesla Optimus, Figure AI, Apptronik Apollo, Agility Digit, and ...

DIBOLL, Texas (KTRE) - Diboll ISD students had a little fun in the classroom before school kicks off on August 13. “This is Gihan, my robot,” fourth grader Garrett said. It was a week of racing, doing ...

Sergey Levine is an assistant professor at UC Berkeley whose research is focused on the thing our parents used to make such a fuss over, whenever we made stupid mistakes or should have known to avoid ...

Reinforcement learning (RL) for robotics is often associated with large GPU clusters, distributed infrastructure, and x86-based development environments. Training a humanoid robot with high-fidelity ...

Engineering experts who were part of a University of Pennsylvania study offer some solutions: Improve the robots' complex ...

As industrial robots begin learning from simulations, digital twins and even one another, automation on the factory floor is entering a new phase. Instead of relying solely on preprogrammed ...

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

The investigative minds at How to Survive investigate the alarming safety risks and injury reports associated with ...