Scientists from the University of Pennsylvania have presented a new technology that allows robots to see in conditions where traditional sensors are ineffective. The system is called PanoRadar. The development uses radio signals to create detailed 3D images of the surrounding world even in difficult conditions. Unlike robots that rely on cameras or lidar, which don't work in bad weather, PanoRadar uses radio waves that can penetrate obstacles and create images with limited visibility. The technology combines radio signals with artificial intelligence to generate accurate 3D maps of the environment. The system functions on the principle of a beacon, which rotates antennas and scans the space. PanoRadar uses data processing algorithms and machine learning to achieve resolution comparable to lidar, but at a significantly lower cost. Tests have shown the technology to be highly effective. It was found that the robot with PanoRadar is able to accurately locate objects even through glass walls and in rooms with smoke. According to the authors of the project, this opens up new opportunities for applying the technology in such areas as unmanned vehicles and rescue missions in dangerous conditions