Zhenshan Zhang
Papers
2
Total Citations
16
H-Index
2
About
Zhenshan Zhang is a researcher focused on mobile robotics and autonomous navigation, with particular expertise in simultaneous localization and mapping (SLAM) algorithms. His most cited work, "Comparative Study of Slam Algorithms for Mobile Robots in Complex Environment" (2021, 14 citations), provides a systematic evaluation of four prominent SLAM approaches—Gmapping, Hector, Cartographer, and ORB SLAM2—analyzing their performance in challenging indoor environments. This comparative analysis offers practical guidance for selecting appropriate SLAM solutions, addressing a critical need in robot autonomous navigation technology. Zhang also investigates mechanical dynamics in collaborative robotics, as demonstrated in his work on vibration testing of a six-degree-of-freedom robot manipulator end (2021, 2 citations). His research bridges theoretical algorithm comparison with real-world robotic applications, contributing to the development of more reliable and efficient autonomous systems. By clarifying the trade-offs between different SLAM methods, Zhang's work helps engineers and researchers make informed decisions when implementing navigation solutions for mobile robots operating in complex, unstructured environments.
Research Focus
Key Achievements
Top Papers
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