Jiaqi Zhu

Papers

Total Citations

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About

Jiaqi Zhu is a researcher whose work bridges robotics and computer vision, with a primary focus on cable-driven parallel mechanisms and efficient stereo matching algorithms. In the domain of robotics, Zhu tackled the challenging problem of real-time pose estimation for redundant constrained cable-driven parallel robots. Their 2022 paper on a six-degree-of-freedom mechanism with eight cables proposed a novel numerical algorithm for solving forward kinematics, a critical step for enabling precise control in applications like large-scale manufacturing and motion simulation. This work has garnered 2 citations, establishing a foundation for further advancements in cable-driven robotics. More recently, in 2024, Zhu contributed to computer vision with a study on multi-level pyramid fusion for efficient stereo matching, achieving 1 citation. This research addresses the need for accurate depth perception in autonomous systems, offering a computationally efficient approach that balances speed and precision. Zhu’s interdisciplinary work demonstrates a commitment to solving fundamental problems in both mechanical design and algorithmic optimization, making their contributions valuable for students and researchers exploring the intersection of robotics and perception.