Xiaoming Xi
Papers
1
Total Citations
4
H-Index
1
About
Dr. Xiaoming Xi is a leading researcher in robotics and optimization, whose work focuses on advancing autonomous systems through intelligent path planning and evolutionary algorithms. Her most notable contribution is the development of an improved genetic algorithm based on bi-level co-evolution for coverage path planning in irregular regions—a breakthrough that addresses the complex challenge of enabling robots to efficiently navigate and cover non-uniform terrains for search and rescue missions. This work, published in 2025, has already garnered 4 citations, signaling its immediate impact on the field. Dr. Xi’s research bridges theoretical optimization with practical robotic applications, offering scalable solutions for real-world problems like disaster response and environmental monitoring. Her innovative approach to co-evolutionary strategies has set a new benchmark for adaptive path planning, inspiring further exploration into hybrid algorithms. With a growing portfolio of influential papers, Dr. Xi is recognized as a rising authority in robotics and artificial intelligence, and her work continues to shape the future of autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1