RFID technology helps robots complete positioning in a few milliseconds
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The principle of RFID positioning is similar to GPS positioning. After receiving multiple reader signals, the RFID tag calculates its coordinates based on the signal value of each reader. RFID positioning technology uses radio frequency for non-contact two-way communication to exchange data to achieve the purpose of identification and positioning of mobile devices. It can obtain centimeter-level positioning accuracy information within a few milliseconds, and has a large transmission range and low cost.
A team of researchers from the Massachusetts Institute of Technology (MIT) has developed a new system that can use RFID tags, or RFID radio frequency identification, a non-contact automatic identification technology that uses radio frequency signals to help robots locate moving objects. The system is called TurboTrack, and it is mainly used to improve the efficiency of robots in the manufacturing process and the efficiency of search and rescue operations for drones. It is outstanding that it can complete the positioning target within an average of 7.5 mm, and the error can reach less than 1 cm.
TurboTrack uses the device to send wireless signals to the RFID tag. The RFID tag can be applied to any object, and then the RFUD tag bounces back to the device to complete the entire identification process. MIT said the system uses a “spatial-temporal resolution” algorithm that can filter reflected signals to locate objects that respond to RFID tags.
When the object starts to move, the signal angle of the RFID tag also changes slightly. RFID tags can mark positions in three-dimensional space by constantly comparing the changed distance measurement value with the distance measurement value of other signals, and all of these positioning processes actually happen in an instant.
MIT researchers said that compared to computer vision technology, RFID systems are more suitable for performing robotic tasks in cluttered and visually affected places, such as drone search and rescue missions. The main advantage is that the radio frequency signal can identify targets and penetrate clutter and walls without requiring vision.
MIT stated that “At present, nano drones can use computer vision algorithms to stitch the captured images to achieve the purpose of positioning, but they are usually limited by conditions. Under the chaotic conditions of the area and the presence of obstacles, Objects cannot be accurately identified. Therefore, these conditions greatly limit the use of equipment when searching for scattered missing persons.”
During the system test, the researchers tracked the nano drone equipped with RFID tags during docking, control and flight, and also did a separate test. The tags were installed on the bottle cap and body, and the manipulator was manipulated to find it. Cap, and then place the cap on another manipulator holding the bottle. According to the Massachusetts Institute of Technology, in these two tests, TurboTrack was either at the same speed as a traditional computer vision system or faster, but both were able to work normally when computer vision failed.
FadelAdib, an assistant professor in the MIT Media Lab, said that the development potential of RFID tag technology has attracted developers in this group, with advantages such as cheap, battery-free, and washable. In addition, MIT has also explored the application of RFID tags in other fields, and plans to develop a low-cost sensor in June to monitor and improve human health.
RFID is a flexible application technology that is easy to control, simple and practical, and especially suitable for automatic control. The radio frequency tag is the physical carrier of the product electronic code (EPC), which is attached to the traceable item, can be circulated globally and can be identified and read and written.
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