Humanoid robots struggle with new tasks. A new approach could help them handle objects reliably in homes, factories, and ...
Embodied learning for object-centric robotic manipulation is a rapidly developing and challenging area in embodied AI. It is ...
Over the past decades, roboticists have introduced a wide range of advanced systems that can move around in their ...
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 ...
A new meta-learning framework inspired by how babies explore the world could help robots adapt faster, handle objects safely, ...
Students with learning disabilities (LD) struggle with particular skills like reading, writing, or mathematics and often require additional, individualized support to fill educational gaps. A team of ...
A simulation-trained DoorMan system helps a Unitree G1 outperform human operators in door opening speed and reliability.
If you are interested in learning more about training robots using machine learning techniques and technologies you might be interested in a new Arduino project to ascertain whether a basic robot ...
A robot, trained for the first time by watching videos of seasoned surgeons, executed the same surgical procedures as skillfully as the human doctors. The successful use of imitation learning to train ...
Nvidia Corp. today announced the release of new tools for developers working on artificial intelligence-enabled robots, including humanoids, that enable faster development cycles using simulation, ...
In a year marked by significant advancements in consumer robotics and emotionally responsive AI, the launch of the Wuffy Robot Dog has become one of the most anticipated product announcements in the ...
Leslie Katz led a team that explored the intersection of tech and culture, plus all manner of awe-inspiring science, from space to AI and archaeology. When she's not smithing words, she's probably ...