Russian Engineers Teach Robots to Recognize Gestures Using Radar
Engineers at RTU MIREA have developed a system that allows robots to interpret human gestures without cameras or specialized gloves, using an invisible radio beam that works even in complete darkness.
The technology is based on a method for generating an ultra-wideband radio signal through nonlinear distortion. Researchers expanded the signal spectrum by more than 20 times, giving robotic systems the ability to track hand movements without relying on optical sensors. During testing, the radar successfully recognized wrist rotations, page-turning gestures, and fist clenching.
The research team has already outlined several potential applications for the technology, including robot and drone control, VR headsets, and smart home interfaces. One of the key advantages is the system’s compact and energy-efficient design: a standard microchip can generate a complex signal without requiring more sophisticated circuitry. “That means the technology is ready for large-scale deployment in wearable electronics, interactive panels, and consumer robotics,” RTU MIREA said. The findings were published in the Russian Technological Journal.
