This paper presents a collision avoidance system for mobile robots equipped with UHF-RFID (Ultra-High Frequency - Radio Frequency IDentification) readers. The proposed system requires the presence of RFID tags with self-tuning chips to recognize the tag antenna mismatch caused by the near-field interaction with the robot-installed antenna. The self-tuning tags are provided with a capacitors network used to re-tune the antenna in presence of mismatches. The network configuration is transmitted to the reader through modulated backscattering. The onboard computing intelligence can use this information to recognize a hazardous situation, stop the robot, and calculate a new safe route. The system is implemented and tested in a real environment where a statistical analysis with a large dataset is conducted to provide an optimized and reliable low-cost system.
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Cecchi et al. (2024) studied this question.
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