Massachusetts Institute of Technology (MIT) has developed a new robot that helps users find lost items. The prototype is called RFusion and is a robotic arm with a camera and RF antenna attached to a gripper. This design allows it to detect target objects by processing signals from the antenna and camera.
The robot can use visual data to find and retrieve an object, even if it is out of sight (for example, under other objects). The developers attach RFID tags to objects that send a signal reflected by the robot’s antenna. RF signals are ideal for this type of system as they travel through most surfaces. The robot starts searching using an antenna that reflects signals from an RFID tag. Next, he determines the location of the subject and narrows the search area using the camera.
Not without machine learning, which allows you to scale the picture for a more accurate analysis of the object. The robot can grab an item and check if it is the very item it is looking for.
MIT fully integrated the camera, antenna, robotic arm, and artificial intelligence, allowing RFusion to work in any environment without special configuration. Scientists see the most likely scenarios for using the robot in performing tasks such as sorting goods in warehouses for order picking. But the prototype itself is not yet good enough to be used at home or in warehouses, although the developers say that RFusion successfully copes with search in 96% of cases.
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