Chunyan An

Papers

Total Citations

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About

Chunyan An’s research lies at the intersection of robotics, computer vision, and multi-modal perception, with a primary focus on advancing robotic manipulation through sensor fusion. Her most cited work, “A Method Based on Multi-Modal Fusion of RGB-D Images for Detecting the Grasping Pose of a Robotic Arm” (2024), addresses a critical bottleneck in autonomous robotics: the imprecise representation of grasping areas and insufficient pose accuracy in complex environments. By integrating color (RGB) and depth (D) data, An proposes a novel framework that enhances real-time, efficient, and accurate grasp detection—a cornerstone for robots operating in unstructured settings. Although early in its citation trajectory, this paper signals a promising contribution to the field, tackling challenges that have long hindered robust robotic interaction. An’s work is particularly notable for its practical orientation, aiming to bridge the gap between theoretical perception models and real-world robotic applications. Her research holds potential implications for industrial automation, assistive robotics, and autonomous systems, positioning her as an emerging voice in multi-modal fusion for robotic intelligence.