Qiongdan Huang

Xi’an University of Posts and Telecommunications

Papers

Total Citations

H-Index

About

Qiongdan Huang is a researcher specializing in RFID (Radio Frequency Identification) systems and robotics, with a particular focus on anti-collision algorithms and tag identification in mobile and manufacturing environments. Their major contributions include developing effective anti-collision algorithms for RFID robot systems that reduce missed readings and enhance operational speed, as demonstrated in their 2019 paper with 11 citations. Additionally, Huang's 2021 work on fast tag identification for mobile RFID robots in manufacturing settings, with 6 citations, addresses the critical challenge of quickly collecting data from both passive and active tags in industrial environments. This research is particularly notable for its focus on designing robot systems compatible with UHF band passive tags, enabling more efficient inventory management and data collection in manufacturing contexts. Huang's work has practical implications for improving the performance and reliability of RFID-enabled robotic systems, contributing to the advancement of automated identification technologies in industrial applications.