Xiancheng Zhang

East China University of Science and Technology

Papers

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About

Dr. Xiancheng Zhang is a leading researcher in autonomous robotics, with a primary focus on intelligent navigation, simultaneous localization and mapping (SLAM), and autonomous exploration for mobile robots operating in unknown or large-scale environments. His most-cited work, the 2020 paper on the "Autonomous Exploration and Map Construction of a Mobile Robot Based on the TGHM Algorithm," has garnered 28 citations and addresses a critical challenge: the impracticality of manual map-building in expansive, unfamiliar settings. Dr. Zhang’s major contribution lies in developing the TGHM (Topological Grid Hybrid Map) algorithm, which enables robots to autonomously explore and construct environmental maps without a priori data or human guidance—drastically reducing workload and enhancing efficiency. This innovation has significant implications for applications in search-and-rescue, industrial automation, and planetary exploration. By solving the bottleneck of autonomous map generation, Dr. Zhang’s work has advanced the field of mobile robotics, offering a scalable solution for real-world deployment. His research continues to influence the design of intelligent, self-sufficient robotic systems, making him a notable figure in autonomous navigation and robotics engineering.