Papers
6
Total Citations
29
H-Index
4
About
Rex Wong is a researcher whose work sits at the intersection of robotics, wireless sensor networks, and autonomous navigation. His primary focus has been on simultaneous localization and mapping (SLAM), a fundamental challenge in enabling robots to navigate and build representations of unknown environments in real time. Wong's most significant contributions center on developing sophisticated data association techniques — the mathematical frameworks that allow robots to correctly match sensor observations to real-world features despite noise, clutter, and dynamic conditions. His application of Joint Probabilistic Data Association (JPDA) to robotic wireless sensor networks, explored across several publications between 2010 and 2013, represents a meaningful advance in fusing global network information with local robot sensing. Particularly notable is his work on SLAM in search-and-rescue scenarios, addressing the harsh realities of earthquake-damaged, unstructured environments where conventional approaches struggle. With nearly 30 cumulative citations across his core publications, his research has influenced how the robotics community approaches navigation in dynamic, real-world settings. Beyond research, Wong has demonstrated a commitment to education, designing entry-level robotics systems for undergraduates and K-12 students, reflecting a broader dedication to cultivating the next generation of engineers.
Research Focus
Key Achievements
Top Papers
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