Qiang Chen

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About

Qiang Chen is a researcher whose work sits at the intersection of robotics, assistive technology, and edge computing, with a particular focus on developing intelligent systems that enhance the quality of life for individuals with disabilities. His most notable contribution involves the design and implementation of an edge computing platform for a guide-dog robot aimed at assisting visually impaired users — a project that addresses one of the most practical and humanitarian challenges in human-robot interaction. By leveraging Intel's Up-Squared board and neural compute sticks, Chen's framework enables real-time image processing and autonomous control without relying on costly centralized computing infrastructure, making such assistive systems more accessible and deployable in real-world environments. This work, published in 2019 and accumulating 14 citations, demonstrates Chen's ability to bridge cutting-edge computing architectures with socially meaningful applications. His research reflects a broader commitment to making advanced robotics both computationally efficient and practically viable, particularly for vulnerable populations. Students and researchers working in assistive robotics, embedded AI systems, or human-centered computing will find Chen's approach to resource-constrained intelligent systems both technically rigorous and deeply impactful.