Shengxiang Zhang

Papers

Total Citations

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About

Shengxiang Zhang is a researcher specializing in intelligent robotics, embedded systems, and computer vision, with a focus on practical applications in service robotics. His most cited work, "Intelligent Service Robot Vision Control Using Embedded System" (2019), has garnered 9 citations, demonstrating his contribution to integrating vision-based control with resource-constrained embedded platforms. This research addresses key challenges in real-time visual processing for autonomous robots, enabling more efficient and cost-effective service robot operations. Zhang's work bridges the gap between theoretical computer vision and embedded hardware implementation, offering solutions for navigation, object recognition, and human-robot interaction. His achievements include advancing the reliability and responsiveness of vision control systems, which are critical for robots operating in dynamic environments like homes and hospitals. By optimizing algorithms for embedded systems, Zhang has helped make intelligent service robots more accessible and practical. His research continues to influence the development of autonomous systems that require robust, low-latency visual processing, positioning him as a contributor to the growing field of embedded AI for robotics.