Papers
3
Total Citations
51
H-Index
3
About
Xuke Xia is a researcher specializing in electromagnetic tracking systems, motion capture technology, and industrial robotics. Their major contributions include the development of a novel wireless 5-D electromagnetic tracking system based on nine-channel sinusoidal signals, which has applications in medical instruments, virtual reality, and game control—a work that has garnered 41 citations. They have also advanced wearable motion tracking using D-H parameter methods to address limitations in optical systems, such as spatial constraints and occlusion, and analyzed the dynamic path accuracy of six-axis industrial robots using optical trackers to improve practical usability. With a total of 51 citations across their most-cited papers, Xia’s work bridges theoretical foundations and real-world applications, enhancing human-machine integration and robotic precision. Their notable achievements include pioneering solutions for motion capture in challenging environments and improving robot calibration for industrial users, making their research highly relevant for students and researchers in robotics, human-computer interaction, and automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2D-H Parameter Method-based Wearable Motion Tracking6 citations · 2022
- 3