Scientists' new system uses AI to convert radio data into 3D images, allowing robots to see through smoke, reflective material, and more.

University of Pennsylvania researchers use AI-processed radio waves to enable robots "see" in 3D, navigating smoke, glass, and walls.

In the race to develop robust perception systems for robots, one persistent challenge has been operating in bad weather and harsh conditions. For example, traditional, light-based vision sensors such as cameras or LiDAR (Light Detection And Ranging) fail in heavy smoke and fog.