Summary
The authors propose a system for allowing a robot to obtain direction and follow/go to a target, either stationary or mobile, using RFID. The target has an RFID transponder. The robot has two antennae, perpendicular to each other, on a motor-mount so they can rotate independently of the robot. The antennae pick up different signals from the transponder, and can compute direction and distance based on intensity and signal strength ratio. By rotating the antenna array separately from the robot, they can avoid the problem of the robot freaking out in environments densely-populated with obstacles. It can average the signals over time as it rotates, then make a decision after the rotation.
Results: it can follow stuff.
Discussion
1) What is the system latency?
2) How well does it work "in real life" with a bunch of obstacles?
3) To use this for hand tracking, we'd put an RFID transponder on our hand, and the computer could track them. How accurate is it? The authors do say the signal ratio is not that great for accuracy ("This makes it difficult to precisely estimate the DOA directly from the ratio") because of noise. Is it centimeter/inch accurate, or is it crappy like the P5 glove? Is the best we can hope for a "Your hand is over there somewhere"?
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