Jingxue Lu

Qingdao University of Science and Technology

Papers

1

Total Citations

3

H-Index

1

About

Dr. Jingxue Lu is a researcher in mobile robotics and intelligent control, with a primary focus on path planning and autonomous navigation. Her most notable contribution is the development of a global path planning method for mobile robots based on the beetle antennae search (BAS) algorithm, a bio-inspired optimization technique. In her 2019 paper, which has garnered 3 citations, Dr. Lu introduced a novel approach that uses the distance between the robot and the target point as a fitness function, significantly improving path planning speed, obstacle avoidance capabilities, and environmental adaptability. This work demonstrates her ability to adapt natural heuristic algorithms to solve complex engineering challenges in real-time robotic navigation. Dr. Lu’s research bridges the gap between swarm intelligence and practical robotics, offering efficient solutions for dynamic and uncertain environments. Her contributions are particularly valuable for students and researchers interested in applying metaheuristic algorithms to autonomous systems, and her work continues to inspire advancements in intelligent mobile robot control.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Research on Global Path Planning Method of Mobile Robot Based on BAS
3 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Qingdao University of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago