Brain-Computer Interface Enables Mind Control of Robot Dog

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 reality that enables humans to use thoughts to control robots with a high degree of accuracy. Brain-machine interfaces (BMIs) are hands-free and voice-command-free communication systems that allow an individual to operate external devices through brain waves, with vast potential for future robotics, bionic prosthetics, neurogaming, electronics, and autonomous vehicles. The artificial intelligence (AI) renaissance with the improved pattern-recognition capabilities of deep neural networks is contributing to the acceleration of advances in brain-machine interfaces, also known as brain-computing interfaces (BCIs). AI deep learning helps find the relevant signals in the noisy brain activity data. The neural activity of the human brain is recorded using sensors.