Papers
2
Total Citations
20
H-Index
2
About
Xiang Jin is a rising researcher at the forefront of intelligent manufacturing and robotic systems, with key contributions in cable-driven parallel robots (CDPRs) and advanced remanufacturing technologies. His highly cited 2024 review on control strategies for CDPRs with model uncertainties—garnering 13 citations—systematically addresses the critical challenge of cable flexibility, offering a comprehensive framework that expands the practical deployment of these robots in large-workspace applications. In his 2025 study on laser cladding for remanufactured screw pump rotors, Jin pioneers a novel integration of reverse engineering and robotic laser cladding to achieve high-quality repair of complex curved surfaces, a breakthrough with significant implications for sustainable manufacturing. With 7 citations, this work demonstrates his ability to bridge theoretical modeling with real-world industrial application. Jin’s research not only advances the precision and reliability of robotic systems under uncertainty but also provides scalable solutions for extending the lifecycle of critical components. His work is essential reading for engineers and researchers in robotics, automation, and remanufacturing, marking him as an emerging leader in the field of intelligent, adaptive manufacturing systems.
Research Focus
Key Achievements
Top Papers
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