Papers
1
Total Citations
10
H-Index
1
About
Yinan Ma is a researcher specializing in robotics, autonomous navigation, and simultaneous localization and mapping (SLAM), with a particular focus on applications for rescue and hazardous environments. Their most notable contribution is the development of LSO-FastSLAM, a novel algorithm that significantly enhances the accuracy of positioning and mapping for rescue robots operating in challenging underground settings, such as mine tunnels. By drawing inspiration from the lion swarm optimization method—specifically leveraging the division of labor among different individuals in a lion pride—Ma’s work improves upon traditional FastSLAM algorithms, enabling faster and more reliable robot localization during critical search-and-rescue missions. This paper, published in 2022, has already garnered 10 citations, reflecting its growing impact in the field of field robotics. Ma’s research bridges bio-inspired computation and practical robotic systems, offering a promising path toward more resilient autonomous agents in disaster response. Their work is particularly relevant for students and engineers interested in SLAM, optimization algorithms, and the deployment of robots in extreme environments.
Research Focus
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Top Papers
- 1