Jiguang Zheng

Civil Aviation University of China, Xi'an Jiaotong University

Papers

Total Citations

H-Index

About

Jiguang Zheng is a researcher focused on intelligent robotics and autonomous systems, with key contributions in swarm scheduling and deep learning-driven robotic manipulation. His work addresses critical challenges in optimizing multi-robot coordination and industrial automation. In his highly cited 2021 study, Zheng developed an ant-sparrow algorithm to solve the complex scheduling of manned robot swarms in public environments, balancing passenger waiting time with energy consumption—a novel approach that integrates bio-inspired optimization with real-world constraints. This work has garnered 4 citations and laid groundwork for efficient human-robot collaboration. Expanding into industrial applications, his 2023 paper introduced an intelligent sorting system using deep learning on RGB-D images, overcoming the limitation of fixed-height object placement in traditional robotic sorting. By leveraging depth perception, Zheng’s system enables adaptive, flexible manipulation on production lines, achieving 4 citations for its practical impact on smart manufacturing. His research bridges theoretical optimization and applied AI, demonstrating a commitment to scalable, energy-efficient solutions for next-generation robotics. Zheng’s work continues to influence both swarm intelligence and computer vision in automation, marking him as a rising contributor to the field.