Papers
11
Total Citations
216
H-Index
7
About
Xiaowei Tu is a leading researcher in robotics and manufacturing automation, with a focus on visual servoing, mobile manipulation, and intelligent path planning. His most influential work, “Switching Control of Image-Based Visual Servoing With Laser Pointer in Robotic Manufacturing Systems” (82 citations), introduced an Eye-in-Hand robotic system that uses a laser pointer to detect, grasp, and assemble planar objects—a key contribution to precision manufacturing. Tu also advanced aircraft assembly automation with his framework on robotic percussive riveting (36 citations), addressing real-world challenges in aerospace manufacturing. His work on the improved Jump Point Search algorithm (26 citations) for mobile robot path planning enhances safety in complex environments by incorporating a safe-distance constraint. Additionally, Tu has contributed to slip analysis for wheeled mobile manipulators (20 citations) and calibration of modular reconfigurable robots (18 citations), both critical for flexible and reliable automation. His research spans multiple cameras visual servoing for large-scale 3D positioning, novel position sensors for indoor navigation, and supervoxel-based graph clustering for object segmentation. With over 200 total citations, Tu’s work bridges theoretical innovation and practical deployment, making him a key figure in modern robotic manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Framework on robotic percussive riveting for aircraft assembly automation36 citations · 2013
- 3
- 4Slip Analysis for a Wheeled Mobile Manipulator20 citations · 2017
- 5Calibration of Modular Reconfigurable Robots Based on a Hybrid Search Method18 citations · 2010
- 6Multiple cameras visual servoing used for large scale 3D positioning9 citations · 2011
- 7
- 8Multiple robots formation manoeuvring and collision avoidance strategy7 citations · 2016
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- 10