Zhixiang Liu
Papers
2
Total Citations
17
H-Index
2
About
Zhixiang Liu is a researcher whose work bridges robotics, sensing, and underground engineering, with a focus on autonomous navigation and roadway profiling. His most cited contribution, "Mobile robot positioning method based on multi-sensor information fusion laser SLAM" (2018, 14 citations), addresses a core challenge in mobile robotics: achieving accurate, real-time localization in unstructured environments. By fusing data from multiple sensors with laser-based simultaneous localization and mapping (SLAM), Liu’s method enhances positioning robustness—critical for applications in mining, tunneling, and industrial automation. In a related vein, his 2022 study on "Modeling and characteristic analysis of roadway profile under the influence of multiple factors" applies robot kinematics to analyze how a roadheader’s cutting head trajectory shapes tunnel surfaces. This work offers practical insights for improving excavation precision and safety. Though early in his citation trajectory, Liu’s integration of robotic perception with geotechnical modeling marks a valuable cross-disciplinary contribution, positioning him as a researcher to watch in the evolving field of intelligent mining and autonomous construction machinery.
Research Focus
Key Achievements
Top Papers
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