Jianbin Wei

East China University of Science and Technology

Papers

Total Citations

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About

Jianbin Wei is a researcher specializing in robotic path planning, with a particular focus on collision-free trajectory optimization for industrial arc welding robots. His work addresses the critical challenge of enabling robots to navigate complex, obstacle-rich environments while maintaining both efficiency and safety. Wei’s most influential contribution is the **AEB-RRT* algorithm** (2022, 51 citations), an adaptive extension of the bidirectional Rapidly-exploring Random Tree (RRT*) method that significantly improves convergence speed and path quality in high-dimensional spaces. He also developed a **dual-objective path optimization framework** for arc welding robots (2021, 34 citations), which integrates grid-based modeling, collision-free search, and global trajectory refinement to balance path length and smoothness. Additionally, his work on the **IDA-DE algorithm** (2022) further advances collision avoidance in welding applications. With a growing citation impact, Wei’s research is directly applicable to manufacturing automation, where precise, collision-free robot motion is essential. His methodologies offer practical solutions for industries seeking to enhance welding productivity and safety, making him a notable contributor to the field of robotic motion planning.