Zhiyuan Chang

Dalian University, Southwest University of Science and Technology

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About

Dr. Zhiyuan Chang is a robotics researcher whose work focuses on the intersection of agricultural automation, 3D perception, and unmanned aerial systems. Her research addresses critical challenges in unstructured environments, particularly in developing intelligent robotic systems for fruit and vegetable picking—a field where efficiency remains a major bottleneck due to complex working conditions. Her 2022 review on picking robot movement planning (5 citations) synthesizes key approaches to improving identification and harvesting speed, offering a foundational resource for researchers tackling agricultural robotics. Dr. Chang has also contributed to 3D perception and reconstruction using 2D laser scanners (2018, 3 citations), advancing surface perception techniques for robot motion control and manufacturing. Additionally, her work on outdoor target tracking UAVs (2019, 3 citations) integrates KCF-based tracking with face recognition, addressing real-time performance and control challenges in unmanned aerial systems. Through these contributions, Dr. Chang demonstrates a consistent focus on enhancing robotic autonomy in real-world, unstructured settings—from orchards to open skies—making her research valuable for students and engineers working on practical robotics and computer vision applications.