Xie Xie
Papers
2
Total Citations
6
H-Index
2
About
Xie Xie is a researcher whose work bridges the fields of robotics, intelligent control, and wearable sensor technology. Their early contributions focused on computational methods for robotic manipulation, notably developing a wavelet network solution to the inverse kinematics problem for robotic manipulators—a foundational challenge in precise motion control. This work, published in 2006, laid the groundwork for applying neural-inspired architectures to complex robotic tasks. More recently, Xie has advanced into the cutting-edge domain of tactile sensing for human-robot interaction. In 2024, they introduced a facile one-step injection method for fabricating a novel composite sensor designed for robot tactile assistance. This innovation addresses the growing demand for wearable flexible sensors that can replicate the nuanced sense of human touch, a critical component for next-generation healthcare robots and assistive technologies. By integrating flexible sensors directly onto robotic platforms, Xie’s work is helping to close the loop between sensing and action, enabling robots to interact with their environment more safely and intuitively. With citations spanning foundational control theory to emerging sensor technologies, Xie’s research trajectory reflects a sustained commitment to making robots more perceptive and capable.
Research Focus
Key Achievements
Top Papers
- 1
- 2