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 ...

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.

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

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

The mix of AI and robotics can collect enough data in one day that takes conventional labs 3 years. Read more at straitstimes ...

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

Chris Stori is the CEO of Bright Machines, leading the development of full-stack automation solutions for manufacturing. With ...

A simulation-trained DoorMan system helps a Unitree G1 outperform human operators in door opening speed and reliability.

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