Humanoid robotics is advancing by leaps and bounds, and science fiction depicting androids with amazing abilities is getting closer to reality. Significant developments have been presented in recent years, but the latest achievement by researchers at the Massachusetts Institute of Technology ( MIT ) could mark a turning point: robots capable of seeing objects through walls and other obstacles , a technological milestone that opens the door to unforeseen applications.
Until recently, the idea of ​​a machine detecting and analyzing elements hidden behind a wall seemed like something out of a movie. However, thanks to advanced techniques , these systems can now reconstruct in three dimensions what the human eye cannot see . This advancement paves the way for more autonomous and efficient humanoid robots, with potential impacts on industry, security, and rescue operations.
mmNorm Technology: The Key to Seeing the Invisible
The system developed by MIT, known as mmNorm , uses millimeter waves ( mmWave ), similar to those used by Wi-Fi or 5G, to explore and reconstruct objects hidden by walls, cardboard, plastic, and even small pieces of furniture. When such a wave strikes an object, part of the signal bounces back and is captured by sensors integrated into the robot. Through complex algorithms, the system interprets both the distance and the exact direction of the surface reflecting the signal.
Thanks to this combination of hardware and software, it's not only possible to detect the existence of a hidden object , but also to recreate its shape, position, and orientation with remarkable accuracy . For example, the system can identify if a tool inside a box is broken, if a cup has a damaged handle, or if several objects are piled together.
Industrial, logistics and assistance applications
The first area where this technology can make a difference is in industry and logistics . Humanoid robots equipped with mmNorm will be able to inspect closed packages and sealed boxes without opening them, streamlining quality control and reducing errors in the supply chain. This will allow for the detection of product defects before they reach the customer, saving time and resources.
In residential or assisted care settings, the new vision system will enable robots to distinguish objects located inside drawers, behind furniture, or in hard-to-reach places . This simplifies the handling of items without the need to manually remove and inspect each space.
Another advantage is that mmNorm technology does not require more bandwidth than other solutions, so it could be implemented in existing robots without major technical modifications. In laboratory tests, the system achieved 96% accuracy in reconstructing hidden objects, a significant improvement over previous methods, which barely reached 78% and failed with small or reflective objects.
Limitations and challenges of vision through walls
Although the ability to see through obstacles is revolutionary, the system has some significant limitations . For example, mmNorm cannot penetrate metal walls or particularly thick structures . The researchers explain that while millimeter waves are useful with materials such as wood, cardboard, plastic, or glass, they cannot penetrate metals, which still limits their application in certain environments.
Furthermore, until now, testing has primarily been conducted using robotic arms in laboratories and with single or medium-sized objects. The next step will be to expand testing to boxes containing multiple elements and a wider variety of materials, to verify reliability in real-world scenarios and with complex objects.
Beyond industry: security and augmented reality
The potential of mmNorm technology extends far beyond warehouses and factories. One of its most promising applications is in augmented reality : an operator could view 3D reconstructions of hidden objects detected by the robot on a screen or headset, facilitating maintenance, assembly, or technical inspections without the need to open or disassemble equipment. Its potential use in robotic surgery is also being considered.
This advancement in through-wall vision represents a major leap forward for the industry. The combination of millimeter waves and artificial intelligence equips machines with sensory capabilities similar to—or even surpassing—those of humans. While technical and ethical challenges remain, the horizon of possibilities is expanding: from inspecting unopened goods to rescues in hazardous environments. The boundary between the physical and digital worlds continues to blur.
