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

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

Robot learning and language acquisition represent an interdisciplinary endeavour combining robotics, artificial intelligence and cognitive science. This field studies how autonomous systems can ...

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

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 ...

An IEEE senior member discusses the results of the organization's global study on the potential impact of AI robotics.

Researchers have developed a new personalized learning robot for autistic children that uses machine learning to adapt its lessons to each kid’s changing needs. The University of Southern California ...

Researchers from AMOLF's Soft Robotic Matter group have shown that a group of small autonomous, self-learning robots can adapt easily to changing circumstances. They connected these simple robots in a ...

Over the past two decades, humanoid robots have greatly improved their ability to perform functions like grasping objects and using computer vision to detect things since Honda’s release of the ASIMO ...

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