Stanford researchers have become the first to demonstrate that machine-learning control can safely guide a robot aboard the ...

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

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.

Understanding The Robotics Engineering Landscape Defining Robotics Engineering So, what exactly is robotics engineering? At ...

According to an official release from the Ministry of Power, Manohar Lal lauded the active participation of industry, states, innovators, academia, and technology partners at the National Conference.

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

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

Weed control is essential in apple orchards because weeds compete with trees for nutrients, water and sunlight, which can ...

The ReWiND method, which consists of three phases: learning a reward function, pre-training, and using the reward function ...

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