Jia An Wang

Papers

Total Citations

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About

Jia An Wang is a researcher whose work centers on mobile robotics, sensor-based perception, and autonomous navigation in indoor environments. His most-cited study, "Indoor Map Building by Laser Sensor and Positioning Algorithms" (2015), exemplifies his core contribution: developing practical, sensor-driven methods for enabling wheeled mobile robots to explore and map unknown indoor spaces. In this work, Wang integrated laser measurement sensors with indoor localization systems to detect obstacles and construct accurate environmental maps, addressing fundamental challenges in robot autonomy and spatial intelligence. While his citation count of 4 reflects a focused, early-career impact, the research holds significance for applications in service robotics, warehouse automation, and assistive navigation. Wang’s approach bridges hardware sensing and algorithmic positioning, offering a replicable framework for real-time map building. His work contributes to the broader field of simultaneous localization and mapping (SLAM), particularly in constrained indoor settings where GPS is unavailable. For students and researchers exploring low-cost, effective solutions for robot-environment interaction, Wang’s study provides a clear, foundational example of how laser-based sensing and positioning algorithms can be combined to achieve autonomous exploration and mapping.