Duo Zhang

University of Cambridge, Tianjin Polytechnic University

Papers

Total Citations

H-Index

About

Duo Zhang is a pioneering researcher at the intersection of advanced manufacturing and robotics, with a primary focus on soft matter engineering and precision automation. His most cited work, "Soft Hydrogel Shapeability via Supportive Bath Matching in Embedded 3D Printing" (2023, 38 citations), introduces a groundbreaking framework for fabricating architected, non-self-supporting hydrogels—materials critical for tissue engineering and soft robotics. By establishing the rule-of-thumb for matching hydrogel properties with supportive baths, Zhang’s research has fundamentally advanced the reliability and complexity of embedded 3D printing, enabling the creation of intricate, soft structures previously unattainable. In parallel, his work on "Positioning error calibration of six-axis robot based on sub-identification space" (2024, 11 citations) addresses a critical challenge in industrial robotics: enhancing precision through innovative calibration methods. This dual expertise—bridging soft material fabrication and robotic accuracy—positions Zhang as a key figure in both biomedical device development and automated manufacturing. His contributions are not only highly cited but also directly applicable to real-world challenges, from custom prosthetics to flexible robotic grippers, making his research essential reading for students and engineers seeking to push the boundaries of soft robotics and precision automation.