Wang Guanwei
Papers
1
Total Citations
21
H-Index
1
About
Dr. Wang Guanwei is a leading researcher in mobile robotics, with a primary focus on intelligent path planning and obstacle avoidance systems. His most influential work tackles a fundamental challenge in autonomous navigation: the limitations of the artificial potential field (APF) algorithm, which often causes robots to become trapped in local minima or fail to reach their destination. In his highly cited 2013 paper, "Research about local path planning of moving robot based on improved artificial potential field" (21 citations), Dr. Wang introduced a novel "virtual" approach to overcome these critical shortcomings, significantly enhancing the reliability of real-time robot navigation. This contribution has been essential for advancing the practical deployment of autonomous mobile robots in complex, dynamic environments. By addressing a core problem in the field, his research provides a robust foundation for subsequent work in intelligent robotics, making his findings a key reference for engineers and researchers developing safer, more efficient autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1