Minh-Quoc Do

National Taiwan University of Science and Technology

Papers

Total Citations

H-Index

About

Minh-Quoc Do is a researcher specializing in embedded robotics, human-robot interaction, and vision-based navigation. His work focuses on developing practical, cost-effective mobile robots capable of autonomously following humans using affordable sensors. In his most-cited paper, "Embedded human-following mobile-robot with an RGB-D camera" (2015, 15 citations), Do demonstrated how embedded devices can make mobile robots cheaper and more viable for real-world applications in entertainment, healthcare, and industry. He also explored intuitive control interfaces in "Robot navigation control using vision based steering wheel" (2016), contributing to safer, more accessible robot guidance. Though his citation counts are modest, Do’s research addresses a critical gap between high-cost robotic systems and deployable, embedded solutions—a growing priority in robotics. His work underscores the potential of RGB-D cameras and embedded platforms to democratize human-following robots, paving the way for smarter assistive technologies. For students and researchers, Do’s contributions offer a practical blueprint for integrating vision-based control into resource-constrained robotic systems.