Papers
2
Total Citations
104
H-Index
2
About
Xiaoyue Ni is a rising leader in the fields of soft robotics and advanced manufacturing, with a particular focus on shape-programmable materials and intelligent automation. Her most impactful contribution is the development of a soft shape-programmable surface that uses fast electromagnetic actuation of liquid metal networks, enabling low-modulus materials to morph into complex three-dimensional configurations on demand. This work, published in 2022 and garnering 92 citations, has significant implications for flexible electronics, surgical instruments, and soft robotics, offering a new paradigm for adaptive structures. In addition, Ni has advanced robotic welding automation through a novel 3D workpiece weld identification and localization method based on the DBSCAN point cloud clustering algorithm. This 2024 paper demonstrates her commitment to high-accuracy, real-time, and robust solutions for industrial applications. By bridging fundamental materials science with practical automation, Ni’s research is shaping the future of soft machines and intelligent manufacturing systems. Her work is essential reading for students and researchers exploring the intersection of responsive materials and robotic perception.
Research Focus
Key Achievements
Top Papers
- 1
- 2