Xinyu Tong

Papers

Total Citations

H-Index

About

Xinyu Tong is a researcher advancing the frontiers of mobile robotics and wireless sensing, with a primary focus on RFID-based localization and acoustic mapping. His work addresses critical challenges in real-world automation, particularly the instability of robot speed that undermines traditional localization accuracy. In his highly cited paper "SILoc: A Speed Inconsistency-Immune Approach to Mobile RFID Robot Localization" (2021, 16 citations), Tong introduced a robust method that ensures precise object tracking even when robot motion is erratic, a breakthrough for warehousing and smart manufacturing. He further refined this approach in "Toward Robust RFID Localization via Mobile Robot" (2024, 15 citations), demonstrating sustained impact in the field. Beyond RFID, Tong contributed to acoustic sensing with "VoiceMap: Autonomous Mapping of Microphone Array for Voice Localization" (2023, 7 citations), enabling context-aware voice services. His work bridges the gap between theoretical robustness and practical deployment, earning recognition for solving real-world constraints. With over 38 citations across his key papers, Tong’s research is essential reading for engineers and researchers developing reliable, autonomous systems for logistics and human-computer interaction.