Papers
1
Total Citations
2
H-Index
1
About
Mengyao Su is a researcher whose work centers on mobile robotics, wireless communication, and sensor-based localization, with a particular focus on simultaneous localization and mapping (SLAM). Their most cited paper, "SLAM of Mobile Robot for Wireless Communication Based on Improved Particle Filter" (2021), addresses a critical challenge in autonomous navigation: the degradation of particle filter weights and loss of particle diversity, which can significantly reduce filtering accuracy in dynamic environments. By proposing enhancements to the particle filter algorithm, Su contributed to more reliable and precise SLAM performance for mobile robots operating under wireless communication constraints. While the paper has garnered 2 citations, it reflects an early engagement with a foundational problem in robotics and autonomous systems. Su’s work is notable for its intersection of communication technology and robotic perception, offering insights into how wireless instructions can be integrated with real-time mapping and localization. This research holds relevance for applications in search-and-rescue, industrial automation, and intelligent transportation systems, where robust navigation in uncertain environments is essential.
Research Focus
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Top Papers
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