Baijian Wu
Papers
2
Total Citations
3
H-Index
1
About
Baijian Wu’s research focuses on intelligent construction robotics and automated manufacturing, with a particular emphasis on path planning algorithms for complex industrial environments. His work addresses critical challenges in the engineering construction industry, including labor shortages and the need for precision automation. Wu’s most notable contributions include developing an improved Rapidly-exploring Random Tree (RRT) algorithm for welding path planning in steel box bridge panel units with multiple ribs, enabling more efficient and accurate automated welding for large-scale bridge prefabrication. He has also advanced complete coverage path planning (CCPP) for rail-type rebar binding robots using an enhanced ant colony algorithm, directly supporting the deployment of intelligent construction robots on bridge and building sites. Although his most-cited papers are recent (2025), with 2 and 1 citations respectively, they represent cutting-edge solutions to pressing industry problems. Wu’s work bridges theoretical algorithm development and practical application, positioning him as an emerging contributor to the field of construction robotics and automated manufacturing.
Research Focus
Key Achievements
Top Papers
- 1
- 2