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 ...

Robotic systems that mirror humans both in their appearance and movements, also known as humanoid robots, could be best ...

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 ...

AI makes ISS robot navigation 50–60% faster, marking the first in-orbit demonstration of machine-learning-based motion ...

Delivery robots and autonomous delivery systems are reshaping urban logistics, with urban robotics improving last-mile ...

Over the past decades, roboticists have introduced a wide range of advanced systems that can move around in their ...

When we think about machine learning, our minds often jump to datacenters full of sweating, overheating GPUs. However, lighter-weight hardware can also be used to these ends, as demonstrated by ...

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

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 ...

This article is part of our series that explores the business of artificial intelligence. The growing digitization of nearly every aspect of our world and lives has created immense opportunities for ...

Picture a robot capable of changing its shape on demand, squishing, bending, or stretching to perform various tasks like navigating tight spaces or retrieving objects. While this may sound like ...