Mengjie Qin

Papers

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About

Mengjie Qin’s research focuses on the intersection of robotics, artificial intelligence, and human-robot interaction, with a particular emphasis on enhancing robotic perception and autonomy in real-world environments. Her most notable contribution is the development of a joint tracking system that addresses a critical limitation in robotics: the constrained first-person perspective of autonomous agents. By integrating online access to surveillance views, her system enables robots to overcome narrow visual fields, significantly improving their ability to track and interact with objects and people in dynamic settings. This work, published in 2023 and already garnering citations, demonstrates her capacity to solve practical challenges in deploying AI-driven robots for social applications. Qin’s research has implications for assistive robotics, surveillance, and autonomous navigation, positioning her as an emerging voice in the field. Her achievements reflect a commitment to bridging the gap between robotic hardware constraints and intelligent software solutions, making her work relevant for students and researchers exploring embodied AI and sensor fusion.