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 ...

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

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

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

Biological neural networks are immensely complex systems underlying all aspects of cognition and behavior. Despite significant advances in neuroscience, a ...

Aditya Sripada] and [Abhishek Warrier]’s TARS3D robot came from asking what it would take to make a robot with the ...

UAE and Chinese entrepreneurship and start-up associations sign series of agreements with Chinese counterparts to boost cross ...

For many in education, the advancement of large language models poses a risk of students cheating. But for Kristi Girdharry, ...

Industrial automation is entering a new era with physical AI, where machine learning meets real-world motion control. AI-driven robotics and digital twins are closing the gap between simulation and ...

Yilun Chen, a former Apple research scientist, has joined Tesla’s Optimus AI team, saying he’s blown away by the scale of the ...