Papers
1
Total Citations
8
H-Index
1
About
Bin Tang’s research centers on intelligent robotics, with a particular focus on welding automation, obstacle avoidance, and multi-robot coordination. His most cited work, “Research on Obstacle Avoidance Strategy for Welding Robot” (2019, 8 citations), introduces a novel approach that integrates grid-based environmental modeling with ant colony optimization to compute collision-free paths between weld points. To address more complex scenarios involving robot joints and fixtures, Tang combines coarse and fine collision detection with geometric modeling and forward/inverse kinematics. A standout contribution is his use of a grouping competitive particle swarm algorithm to optimize welding time and task allocation for dual-robot systems, ensuring synchronized operation under constraints of tool pose and fixture layout. This work directly advances industrial automation by enabling safer, more efficient robotic welding in constrained environments. While his citation count is still growing, Tang’s methodological synthesis—bridging path planning, kinematics, and swarm intelligence—marks him as a promising researcher in manufacturing robotics, with clear practical implications for smart factory applications.
Research Focus
Key Achievements
Top Papers
- 1Research on Obstacle Avoidance Strategy for Welding Robot8 citations · 2019