Research from Carnegie Mellon University previously demonstrated the ability to see through walls using Wi-Fi signals and neural networks.
MIT developed a new sensor called mmNorm, leveraging radar mounted on a robotic arm to detect objects inside closed spaces.
mmNorm creates a 3D map of vectors representing the object's surface orientation, achieving a reconstruction accuracy of 96% on everyday objects.
Potential applications include enhancing robotics, augmented reality, smart homes, military uses, while raising privacy concerns due to the technology's surveillance capabilities.