Mengchen Xiong

Papers

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About

Mengchen Xiong is a robotics researcher whose work bridges the critical gap between scene understanding and human-robot interaction. Her primary research areas include semantic scene understanding, shared control for teleoperation, and interactive perception for mobile manipulation. Xiong’s major contributions center on developing intelligent frameworks that enable robots to better comprehend and interact with their environments. In her highly cited work "SRI-Graph," she introduced a novel scene-robot interaction graph that leverages a mobile manipulator’s known position to achieve robust scene understanding, outperforming state-of-the-art scene graph approaches by capturing relationships between objects and the robot itself. This work has garnered 4 citations since its 2023 publication. Her equally impactful paper "ISSC" proposes an interactive semantic shared control framework for haptic teleoperation, which uses an active high-level communication loop between human operator and robot to achieve more time-efficient teleoperation. With 3 citations, this work addresses the crucial challenge of accurately predicting operator intention in shared control systems. Xiong’s research represents a significant step toward more intuitive and capable robotic systems that can seamlessly collaborate with humans in complex environments.