Wi-Fi signals could soon be used by AI-driven robots to identify objects inside boxes - or even tools hidden in a drawer

MIT researchers have developed mmNorm, a technique using Wi-Fi frequencies to reconstruct hidden 3D objects with 96% accuracy. This AI-powered method outperforms existing radar technologies by 18%, estimating surface directions to create detailed images of items inside boxes or behind walls. The breakthrough could revolutionize security scanning, warehouse automation, and search-and-rescue operations.