Sean Wyndell T Que
Papers
2
Total Citations
6
H-Index
2
About
Sean Wyndell T Que is a researcher in robotics and embedded systems, with a focus on human-robot interaction and autonomous navigation. His work bridges the gap between intuitive control mechanisms and practical robotic applications. Que’s most notable contribution is the development of a microcontroller-based wireless writing robotic arm, controlled via skeletal tracking technology. This system uses a motion-capturing camera to map a person’s skeletal layout and replicate their movements, enabling the robotic arm to write. Designed to engage students by leveraging their natural curiosity, this innovation has garnered 4 citations and highlights the potential of gesture-based learning tools. Additionally, Que has explored autonomous navigation through a maze-solving mobile robot capable of tracking traversed distances, a project that earned 2 citations. His research demonstrates a commitment to making robotics accessible and educational, combining hardware and software to create systems that are both functional and inspiring. Que’s work contributes to the growing field of interactive robotics, where machines learn from and respond to human actions, paving the way for more intuitive assistive technologies.
Research Focus
Key Achievements
Top Papers
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