Lilian Wei Fang Ung
Papers
1
Total Citations
2
H-Index
1
About
Lilian Wei Fang Ung is a robotics researcher whose work focuses on advancing autonomous navigation in constrained indoor environments. Her primary research areas include robot operating system (ROS) integration, sensor-actuator coordination, and path-planning algorithms for narrow-space mobility. Ung’s most notable contribution is her 2024 study on ROS-based navigation in narrow-path indoor settings, such as grocery stores and libraries, where she systematically integrated hardware components—including sensors and actuators—with algorithmic solutions to enable reliable autonomous movement. This work, which has garnered early citations, addresses a critical gap in robotics: the challenge of maneuvering in tight, obstacle-dense spaces where traditional navigation systems often fail. By designing a cohesive framework that bridges hardware and software, Ung has provided a practical blueprint for deploying service robots in real-world commercial and institutional environments. Her research holds promise for applications in logistics, assistive robotics, and automated inventory management. As her citation count grows, Ung is establishing herself as an emerging voice in applied robotics, with a focus on translating theoretical navigation models into functional, deployable systems that can operate safely and efficiently in human-centric spaces.
Research Focus
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Top Papers
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