Gongzheng Chen

China Construction Eighth Engineering Division (China)

Papers

Total Citations

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About

Gongzheng Chen is a robotics researcher whose work focuses on advancing construction automation, particularly through the development of intelligent rebar binding systems. His key research areas include computer vision for construction robotics, feature-based object recognition, and human-robot collaboration in building environments. Chen's most notable contribution is his pioneering work on the "Recognition of the rebar binding state based on Bag of Features," published in 2022, which has accumulated 3 citations. In this study, he developed a novel robot prototype capable of automatically binding steel bars in standard construction settings, replacing manual labor. By implementing a Bag of Features approach for visual recognition, Chen's system can accurately assess the binding state of rebar, enabling more reliable and efficient autonomous construction operations. His work addresses a critical gap in construction robotics—the need for robust perception systems that function in unstructured, real-world building sites. Chen's research has significant implications for improving worker safety, reducing physical strain, and increasing productivity in the construction industry. His contributions represent an important step toward fully automated building processes, positioning him as an emerging innovator in the field of construction robotics and intelligent manufacturing.