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 ...

Researchers are using generative AI and other techniques to teach robots new skills—including tasks they could perform in homes. Silent. Rigid. Clumsy. Henry and Jane Evans are used to awkward ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. In the past decade, the number of robots deployed in logistics has grown significantly, ...

Chinese robotics player AgiBot has unveiled by far the largest humanoid manipulation dataset, aiming to advance AI robot training. Named the AgiBot World Alpha, the model features 1 million plus ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. This article dives into the happens-before ...

A new machine-learning technique can efficiently learn to control a robot, leading to better performance with fewer data. Researchers from MIT and Stanford University have devised a new ...

Atlas, CU Denver's robotic dog, trotted in a crawlspace of the Anythink Nature Library construction site in Thornton last ...

Imagine a world where robots clean your home, beaches, and even public spaces. We're already well on our way there, but a new self-learning robotic arm developed by researchers at TU Wien in Austria ...