Tong Qi
Papers
1
Total Citations
8
H-Index
1
About
Tong Qi is a pioneering researcher at the intersection of human-robot interaction and STEM education, with a focus on developing tangible, child-friendly robotic systems that make complex technologies accessible to young learners. Their most notable contribution is the TanTwin (Tangible Twin) robot system, presented in their highly cited 2022 paper "Learning with Yourself: a Tangible Twin Robot System to Promote STEM Education." This innovative work introduces a customizable wheel-robot built from standard LEGO bricks, integrated with deep neural networks that allow children to transform a simple portrait into a programmable, interactive robotic companion. The system’s core achievement lies in bridging abstract AI concepts with hands-on, physical play—enabling K-12 students to learn coding, robotics, and machine learning through direct, tangible interaction with their own "twin" robot. With 8 citations in just two years, this work has already sparked interest in educational technology circles. Tong Qi’s research uniquely combines accessibility, creativity, and technical rigor, offering a compelling model for how robotics can democratize STEM learning and inspire the next generation of innovators.
Research Focus
Key Achievements
Top Papers
- 1