A group of robots developed by the University of California, Santa Barbara, developed cooperative robots that use a WiFi signal to see through a solid wall. This technology will be applied in search, rescue, monitoring, detection and archeology. The robot scans to determine the outline of the object in the wall, and then divides the object into metal, wood, or flesh.
In operation, several robots surround the unknown structure and alternately send and receive wireless network signals for scanning. The presence of hidden objects is displayed by utilizing the difference in the strength of the WiFi signals at the time of transmission and reception. The system uses a wave propagation model with a target resolution of about 2 cm. By measuring the strength of these wireless signals, the robot can describe the detailed internal structure and form an accurate map. Although this technology is not pioneering, other systems rely on some high-frequency signals. The use of high-power radio sensor arrays is basically a radar system. The fixed WiFi detection system established by MIT has certain defects, such as the low resolution, the inability to classify and identify objects.
This group of robots rely on WiFi wireless transmission to complete "perspective vision" capabilities. This technique uses techniques such as wavelet transforms, spatial filtering, signal reception and processing, and instant drawing operation algorithms. Each robot estimates its own position and maps the coordinate area into the object space, and uses a gyroscope and a wheel encoder for positioning according to the speed, direction and distance set by the robot. Although accurate measurements may not be possible, it is sufficient for imaging and resolution.
The main idea of ​​this technology is search and rescue applications. In particular, help search for survivors in the rubble. The researchers also pointed out that this wireless network scanning technology can be used as a monitoring and sensing system by combining static transmission and reception. At the same time it may also be used for whole body scanning of health monitoring. The team plans to incorporate laser guidance in imaging applications to improve spatial accuracy and improve the quality of captured images.
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