Tianyi Xiang
Papers
2
Total Citations
6
H-Index
2
About
Tianyi Xiang is a pioneering researcher at the forefront of intelligent robotics and digital twin technology. His work centers on developing accessible, high-impact digital twin frameworks that bridge the gap between virtual simulation and physical robotic systems. Xiang’s major contributions include the creation of a novel, easily replicable digital twin framework for industrial robots, which leverages Robot Web Service (RWS) communication and real-time Unity 3D simulation to enhance intelligent manufacturing. He has also advanced soft robotics by proposing a digital twin-based approach for real-time motion and pose control of soft robotic grippers, integrating computer vision for precise grasping. Though his most-cited papers—each garnering 3 citations—are recent (2024), they represent foundational work in a rapidly evolving field, signaling strong potential for future impact. Xiang’s research is notable for its practical focus on making digital twin technology more accessible and applicable to real-world industrial challenges, positioning him as an emerging leader in the intersection of robotics, simulation, and intelligent manufacturing.
Research Focus
Key Achievements
Top Papers
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- 2