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MIT Media Labs Creates Highly Precise UHF RFID for Robotics
The TurboTrack system employs a standard tag and interrogator, as well as a "helper" antenna device that pulses short signals to pinpoint the locations of even fast-moving tags at the sub-centimeter level.
Feb 28, 2019—
The Massachusetts Institute of Technology (MIT)'s Media Lab has completed its testing of a radio frequency identification system known as TurboTrack. The lab's researchers say the solution could enable a new level of flexibility and autonomy for robots in manufacturing processes, as well as in applications such as search-and-rescue.
The TurboTrack system is designed to pinpoint a passive UHF RFID tag's location at the sub-centimeter level, even if it is moving at fairly high-speed. Such a system could make it possible for a robot to understand where a tagged item was located and to respond accordingly—even one flying overhead, as in the case of a swarm of drones. In the long run, the technology is intended to offer a more effective option for managing robotics than computer vision. The group will present a paper on the technology today at the USENIX Symposium on Networked Systems Design and Implementation.Signal Kinetics Research Group.
TurboTrack is one of multiple RFID projects the Media Lab has conducted in recent years (see RFID Detects Food Safety With Innovation from MIT Media Lab Research and Lightweight Relays Enable Small Drones to Read RFID Tags Indoors). This project, however, is focused on enabling highly precise location capture for robots as they are used increasingly in manufacturing, including most recently in the picking and packing of goods. According to Adib, robots these days often serve as mobile devices that are no long simply bolted to an assembly line accomplishing a single, simple task.
Many robots leverage computer vision to understand their surroundings. However, computer vision provides robots with a somewhat limited view as they navigate their way through a task. "The problem with using computer vision is that it fails in cluttered environments," Adib says. Computer vision requires a line of sight, for instance. Therefore, if an object were oriented in such a way that it couldn't be identified, or if it were located behind a wall or obstruction, it could not be located. In addition, something like a swarm of drones cannot be individually identified.
"We wanted to enable robots to use radio signals to outperform vision-based systems" in busy or crowded environments, Adib says. If robots had better data regarding where objects or individuals were located, he adds, they could make more intelligent decisions, such as adjusting their work or speed based on the surrounding environment, as well as prevent collisions, find and move missing objects or identify drones flying overhead. They could also collaborate with another robot to accomplish a task.
Therefore, the MIT Media Lab began working on a solution about 18 months ago. The group quickly found that they needed a way to localize a tag more precisely than would be possible using standard UHF RFID technology, says Zhihong Luo, a graduate student in the Signal Kinetics Research Group. RFID offers the ability to more easily identify something even without a clear line of sight. However, regular UHF RFID systems still cannot pinpoint a tag with enough granularity to work with tasks such as assembly. Luo estimates that UHF technology could provide accuracy of approximately 15 to 20 centimeters (5.9 to 7.9 inches).
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