Papers
15
Total Citations
186
H-Index
8
About
Xiaojun Yang is a versatile robotics and mechanical engineering researcher whose work spans screw theory, parallel manipulators, deployable robotic systems, and surgical robotics. His most influential contribution, a geometrical method for determining reciprocal screws in parallel manipulators (2009, 61 citations), offered an elegant, algebra-free alternative to traditional Plücker coordinate methods, significantly simplifying kinematic and static analysis in robotics. Building on this foundation, Yang has advanced flexible fixturing systems for sheet metal assembly using parallel robots, demonstrating a consistent interest in reconfigurable and adaptive mechanical systems. His research portfolio reflects a compelling evolution toward medical and field robotics: he has investigated spinal biomechanics modeling to improve surgical robot accuracy, developed constant-force grinding methods for bone-cutting instruments, and designed stereo-vision-guided surgical instrument sorting systems. Yang has also made notable contributions to deployable robotic graspers, including truss-shaped and snake-inspired designs capable of handling large-scale or unknown objects with variable stiffness. More recently, he has explored indoor localization using passive RFID systems, broadening his scope into sensing and localization technologies. Across these diverse domains, Yang's work consistently prioritizes practical engineering solutions with real-world clinical and industrial relevance, cementing his reputation as a creative and broadly impactful researcher.
Research Focus
Key Achievements
Top Papers
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- 6A Snake-Inspired Swallowing Robot Based on Hoberman’s Linkages14 citations · 2022
- 7Point cloud segmentation of 3D scattered parts sampled by RealSense11 citations · 2017
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