Papers
3
Total Citations
36
H-Index
3
About
Xiao Tu is a pioneering researcher in the field of robotic vision and visual servoing, with a focus on developing intelligent, high-performance systems for manufacturing and assembly. His work centers on the integration of parallel computing architectures with 3D vision, enabling low-cost, reconfigurable systems for mobile robots—a concept demonstrated in his most cited paper (17 citations). Tu made significant contributions to visual servoing, particularly through switching control methods that combine image-based feedback with laser pointers to precisely guide robot end-effectors in assembly tasks (13 citations). He further advanced the field by addressing the challenges of large-scale manufacturing, proposing a novel multiple-camera, multiple-target-point visual servoing system for 6-DOF robots (6 citations). Collectively, his work has garnered over 36 citations, reflecting its impact on practical robotics. Tu’s research stands out for its emphasis on hardware-software co-design, achieving both flexibility and cost-efficiency—a crucial balance for real-world industrial deployment. His achievements offer valuable insights for students and researchers exploring vision-based robot control and adaptive manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1A reconfigurable and flexible parallel 3D vision system for a mobile robot17 citations · 2002
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