Papers
1
Total Citations
3
H-Index
1
About
Bing Wu is a researcher in robotics and computational intelligence, with a primary focus on path planning and optimization for autonomous systems. Wu’s most notable contribution is the development of a mobile robot path planning method based on a modified genetic algorithm, introduced in the 2010 paper "Robot path planning based on modified genetic algorithm." This work addresses the challenge of enabling robots to navigate dynamic environments while avoiding obstacles and reaching target destinations efficiently. By optimizing behavioral parameters through genetic algorithms, Wu’s approach enhances the adaptability and performance of autonomous navigation systems. Although the paper has accumulated 3 citations, its conceptual foundation contributes to ongoing research in evolutionary robotics and intelligent control. Wu’s work is particularly relevant for students and researchers interested in the intersection of evolutionary computation and real-world robotic applications, offering a practical framework for solving complex path planning problems in uncertain settings.
Research Focus
Key Achievements
Top Papers
- 1Robot path planning based on modified genetic algorithm3 citations · 2010