Linqi Zhou

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About

Linqi Zhou is a rising researcher in robotics and computer vision, whose work focuses on enabling robots to manipulate articulated objects—such as cabinets, doors, and appliances—with greater autonomy and precision. Her most notable contribution, the paper "AO-Grasp: Articulated Object Grasp Generation" (2024), introduces a novel grasp proposal method that generates 6-DoF grasps specifically designed for interacting with articulated objects. This work addresses a critical gap in robotic manipulation, where standard grasping techniques often fail to account for the dynamic, jointed nature of everyday objects. The AO-Grasp system comprises two key innovations: the AO-Grasp Model, which predicts functional grasps that facilitate opening or closing movements, and the AO-Grasp Dataset, a large-scale collection of annotated point clouds and grasp poses for training. Although early in its citation trajectory (5 citations as of 2024), the paper has already garnered attention for its practical implications in home robotics and industrial automation. Zhou’s research bridges perception and action, offering a foundational step toward robots that can seamlessly interact with human environments. Her work is particularly impactful for students and researchers interested in embodied AI, manipulation, and human-robot interaction.