Shaohua Xu
Papers
1
Total Citations
3
H-Index
1
About
Dr. Shaohua Xu is a researcher in robotics and intelligent manufacturing, with a primary focus on robotic arm path planning and automation systems. His most notable contribution addresses a critical challenge in dual robotic arm coordination—the tendency of the artificial potential field (APF) method to become trapped in local minima during path planning. To overcome this, Dr. Xu proposed a novel hybrid approach that integrates an improved APF with an advanced Rapidly-exploring Random Trees (RRT) algorithm, specifically applied to a steering wheel sewing device. This work, published in 2023, has already garnered 3 citations, signaling its relevance to the field of industrial automation. Dr. Xu’s research is particularly impactful for manufacturing environments requiring precise, collision-free coordination between multiple robotic arms. His work not only enhances the efficiency and reliability of automated sewing processes but also contributes to broader advancements in robotic path planning. As a researcher dedicated to solving real-world industrial problems, Dr. Xu’s innovations hold promise for improving productivity and safety in automated production lines.
Research Focus
Key Achievements
Top Papers
- 1