Genghuang Yang

Tianjin University of Technology and Education

Papers

Total Citations

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About

Genghuang Yang is a researcher whose work bridges robotics, control systems, and educational technology. His key research areas include mobile robot navigation, fuzzy logic control, and the development of remote laboratory platforms for engineering education. Yang’s major contributions lie in advancing practical, accessible solutions for robotics experimentation and obstacle avoidance. His 2010 study on ultrasonic obstacle avoidance for mobile robots introduced a fuzzy controller that fuzzifies environmental data from ultrasonic sensors to enable real-time, adaptive navigation—a foundational approach cited 10 times for its impact on autonomous systems. More recently, his 2022 paper on remote laboratories as educational tools in robotics courses, with 15 citations, addresses the critical need for flexible, remote-access experimentation, particularly highlighted during the COVID-19 pandemic. This work demonstrates Yang’s commitment to democratizing hands-on learning, allowing students to connect to lab equipment from anywhere. His research is notable for combining theoretical control methods with applied, user-centered designs, making complex robotics concepts more teachable and accessible. Yang’s contributions continue to influence both the technical development of intelligent robots and the pedagogical frameworks that train the next generation of engineers.