Rongze Luo

Zhejiang Normal University, Harbin Institute of Technology

Papers

Total Citations

134

H-Index

About

Rongze Luo is a leading researcher at the intersection of educational robotics, computational thinking, and STEM education. Their most influential work, a 2021 systematic review on "Educational Robots Improve K-12 Students’ Computational Thinking and STEM Attitudes," has garnered 126 citations, establishing Luo as a key voice in understanding how robotics can transform classroom learning. This landmark study synthesized evidence across multiple disciplines, demonstrating that hands-on robotics activities significantly enhance students' problem-solving skills and positive attitudes toward science and technology. Earlier in their career, Luo made foundational contributions to mobile robotics with their 2004 work on "Simultaneous localization and map building for mobile robot." This research introduced an innovative grid-based probabilistic mapping approach using sonar sensors and Hough transforms, enabling robots to build and update environmental maps in real time. While this technical contribution has 8 citations, it laid important groundwork for autonomous navigation systems. Luo's research uniquely bridges technical robotics engineering with educational outcomes, making their work valuable to both computer scientists and education researchers. Their systematic review has become a go-to reference for educators and policymakers implementing robotics curricula, while their earlier technical work demonstrates deep expertise in sensor-based mapping. This dual focus on both the engineering and pedagogical dimensions of robotics positions Luo as a versatile scholar whose impact spans from technical innovation to practical educational applications.