Xiangmiao Wu
Papers
10
Total Citations
77
H-Index
5
About
Xiangmiao Wu is a robotics and computer vision researcher whose work sits at the intersection of intelligent welding automation, 3D reconstruction, and robot perception. Wu's research is primarily focused on advancing humanoid welding robots—both terrestrial and underwater—through sophisticated vision systems, artificial intelligence, and path planning algorithms. A standout contribution is Wu's systematic development of 3D point cloud-based reconstruction methods tailored to challenging environments, including low-light underwater welding scenes, achieving high-quality spatial mapping with low latency. Wu's most-cited work, a 2024 systematic review on 3D vision measurement and path planning for humanoid welding robots (24 citations), has quickly established itself as a foundational reference in next-generation intelligent manufacturing. Complementing this, Wu has produced influential reviews and original research on AI-driven underwater welding robots, addressing the dual hardware and software challenges these systems face. Additional contributions include novel calibration frameworks, motion planning algorithms, and real-time arc blow estimation models. Wu's growing citation record—accumulating over 75 citations across publications from 2023 to 2025—reflects rapid recognition within the robotics and advanced manufacturing communities, positioning Wu as an emerging authority in intelligent welding robot systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8Robot Localization and Reconstruction based on 3D Point Cloud2 citations · 2023
- 9AM-RRT*: An Automatic Robot Motion Planning Algorithm Based on RRT2 citations · 2023
- 10