Russian Scientists Develop Brain-Controlled Robotic System Using Neuromorphic Chips

Researchers in Russia have created a next-gen neuromorphic interface that allows users to control robots and prosthetics with their thoughts.

Russian scientists have developed a groundbreaking brain-machine interface that enables people to control robots using thought alone. According to the National Center for Physics and Mathematics, the system uses neuromorphic technology based on memristors—electronic components that enable devices to be smaller, faster, and more energy-efficient.

The operator wears an EEG helmet and imagines a movement or change in the position of an android. Brain signals are captured, transmitted via Wi-Fi to a memristor-equipped circuit board, interpreted in real time, and then translated into robotic or prosthetic actions. During the process, users can mentally adjust their commands, dynamically shaping the final output.

Experts have called the system a major breakthrough in neuromorphic computing. By processing neural signals on lightweight mobile chips and transmitting them wirelessly, the platform reduces power consumption and hardware weight.

The new system is expected to find applications in both medicine and robotics, delivering faster, more precise, and energy-efficient control over machines.