Yutian Gu

China University of Mining and Technology

Papers

Total Citations

H-Index

About

Yutian Gu is a researcher focused on advancing educational robotics through intelligent vision processing and sensor integration. Their most cited work, "Research on Educational Robot System Based on Vision Processing" (2023), addresses critical limitations in current educational robots—specifically their poor recognition of complex shapes and colors, as well as overly simplistic experimental designs. Gu proposed a novel robot teaching instrument that incorporates servo motors with encoders, drives, and a diverse array of sensors, enabling more sophisticated and adaptive interactions. This contribution enhances the robot’s ability to perceive and respond to its environment, making it a more effective tool for hands-on learning in STEM education. With 2 citations, this paper lays foundational groundwork for improving robotic perception in educational settings. Gu’s work bridges robotics, computer vision, and pedagogy, offering practical solutions that can inspire future innovations in interactive learning technologies. Their research underscores the importance of robust sensorimotor systems in creating engaging, real-world educational experiences for students.