Papers
2
Total Citations
7
H-Index
2
About
Yanna Ma is a rising researcher in robotics and autonomous systems, with a focus on developing more intelligent, human-like navigation. Her key research areas include closed-loop perception, decision-making, and reasoning mechanisms for autonomous driving and robotic mobility. Ma’s major contribution is the proposal of a novel closed-loop framework that integrates perception, decision-making, and reasoning into a unified, iterative process—moving beyond traditional open-loop systems that simply convert sensor inputs into actions. This approach enables robots and autonomous vehicles to better handle complex, dynamic real-world environments by continuously updating their understanding and responses, much like a human driver. Her most-cited work, "A Closed-Loop Perception, Decision-Making and Reasoning Mechanism for Human-Like Navigation" (2022), has garnered 5 citations, signaling growing interest in her innovative methodology. While early in her career, Ma’s research addresses a critical limitation in current navigation systems, offering a pathway toward safer and more adaptable autonomous technologies. Her work is particularly relevant for students and researchers seeking to bridge the gap between rigid algorithmic control and flexible, context-aware navigation.
Research Focus
Key Achievements
Top Papers
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