Xiaoling Meng
Papers
1
Total Citations
17
H-Index
1
About
Xiaoling Meng is a leading researcher in robotics and autonomous systems, with a primary focus on intelligent path planning and manipulator control for high-precision assembly applications. Her most notable contribution is the development of the Elite Smoothing Ant Colony Algorithm (ESACO), a novel optimization method designed to enhance autonomous obstacle avoidance in grasping manipulators. This work, published in 2022 and already garnering 17 citations, addresses critical challenges in flexible automatic assembly systems by improving path efficiency and smoothness in constrained environments. Meng’s research bridges the gap between bio-inspired swarm intelligence and practical robotic navigation, offering significant advancements for industries requiring precise, small-range manipulation. Her achievements underscore a commitment to solving real-world automation problems, making her a rising figure in the field of robotics and artificial intelligence.
Research Focus
Key Achievements
Top Papers
- 1