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 ...

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 ...

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

A new meta-learning framework inspired by how babies explore the world could help robots adapt faster, handle objects safely, and interact more naturally with humans.

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

Intrinsic motivation, a concept drawn from behavioural science, has gained significant traction in robotic research as a means to stimulate exploratory behaviour in the absence of explicit external ...

Standing amid hundreds of people in the rotunda of Chicago's iconic Museum of Science and Industry, Ritika Ghosh (MSR '23) felt her confidence building. Ghosh was teaching people of all ages about a ...

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 ...

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 ...

AI, Machine Learning & Robotics research at Drexel University's College of Computing & Informatics (CCI) explores algorithms, mathematics, and applications of artificial intelligence (AI) through ...

Active learning takes advantage of control authority to improve data as it is being acquired. Robotics applications are particularly sensitive to how data is taken. For instance, machine vision is ...