Fama Ngom

Papers

Total Citations

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About

Fama Ngom is a rising researcher at the intersection of robotics and artificial intelligence, whose work is redefining how machines perceive and navigate the physical world. Her primary focus lies in semantic mapping and robotic planning, where she develops intelligent systems that enable robots to understand their environments not just as geometric spaces, but as meaningful, context-rich landscapes. Ngom’s most notable contribution to date is her 2024 paper, "IntelliMove: Enhancing Robotic Planning with Semantic Mapping," which has already garnered 3 citations—a strong early indicator of its influence in the field. In this work, she introduces a novel framework that integrates high-level semantic labels with traditional path planning algorithms, allowing robots to make more informed decisions, such as avoiding cluttered areas or prioritizing accessible routes. While early in her career, Ngom’s research promises to bridge the gap between raw sensor data and actionable, human-like understanding, paving the way for more autonomous and adaptable robots in homes, hospitals, and industrial settings. Her innovative approach marks her as a promising voice in next-generation robotics.