Ancient mudras offer a blueprint for smoother robot hand movement and could inspire new approaches to motor training and ...

Embodied learning for object-centric robotic manipulation is a rapidly developing and challenging area in embodied AI. It is ...

Thanks to researchers at TU Wein in Vienna, the promise of housecleaning robots is one step closer. The team has developed a self-learning robot to mimic humans to complete simple tasks like cleaning ...

Discover the latest breakthroughs in robotic tactile sensing and how they are transforming the capabilities of humanoid robots. This video explores the advanced technology behind Sanctuary AI's ...

Humanoid robots struggle with new tasks. A new approach could help them handle objects reliably in homes, factories, and ...

When it comes to training robots to perform agile, single-task motor skills, such as handstands or backflips, artificial intelligence methods can be very useful. But if you want to train your robot to ...

Robots are super interesting, but you probably shouldn’t start learning about them with a full-sized industrial SCARA arm or anything. Better to learn with something smaller and simpler to understand.

Stanford researchers have become the first to demonstrate that machine-learning control can safely guide a robot aboard the ...

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 ...

Aditya Sripada] and [Abhishek Warrier]’s TARS3D robot came from asking what it would take to make a robot with the ...

Researchers working on multiple projects in Europe and the United States are using cloud computing to teach robotic systems to perform a multitude of tasks ranging from household chores to serving ...

Researchers at the University of California at Berkeley have developed algorithms that allow robots to learn by making mistakes -- just like a real person. Michelle Starr is CNET's science editor, and ...