Almost half of our attention during face-to-face conversation focuses on lip motion. Yet, robots still struggle to move their lips correctly. Even the most advanced humanoids make little more than ...

To match the lip movements with speech, they designed a "learning pipeline" to collect visual data from lip movements. An AI model uses this data for training, then generates reference points for ...

Signal Enhancement: An acoustic-driven signal enhancement approach based on NeRF acoustic field modeling and nested generative networks supplements missing or incomplete EEG data through acoustic ...

A new peer-reviewed study published in ACS Applied Nano Materials demonstrates a new type of AI-enabled brain-machine interface (BMI) featuring noninvasive biosensor nanotechnology and augmented ...

A caregiving robot that responds to spoken instructions while performing physical tasks may make robots easier to use and understand.

Researchers of the Integrated Systems Engineering Group of the University of Malaga (UMA) have designed a telepresence robot that enables people suffering from COVID-19 to talk to their loved ones.