Huang Zhang

Papers

Total Citations

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About

Huang Zhang is a researcher whose work bridges robotics and computer vision, with a particular focus on human-robot interaction and autonomous navigation. Their most cited paper, "Binocular Vision Sensor (Kinect)-Based Pedestrian Following Mobile Robot" (2014), demonstrates a pioneering approach to developing affordable, depth-camera-driven mobile robots capable of tracking and following human pedestrians. By leveraging the low-cost Microsoft Kinect sensor, Zhang’s work made advanced robotic capabilities more accessible, extracting human skeletal data to determine precise three-dimensional positioning. This contribution has garnered 5 citations, reflecting its foundational role in cost-effective robotic vision systems. Zhang’s research addresses key challenges in real-time human detection and robot path planning, offering practical solutions for applications in service robotics, assistive technologies, and autonomous navigation. Their work exemplifies how integrating off-the-shelf sensors with robust algorithms can democratize advanced robotics, inspiring further innovations in pedestrian-following systems and human-aware autonomous platforms.