Nanpeng Wu
Papers
1
Total Citations
17
H-Index
1
About
Nanpeng Wu is a leading researcher in autonomous mobile robotics, specializing in path planning and collision avoidance in dynamic environments. Their most influential work, the "RRT*-Fuzzy Dynamic Window Approach (RRT*-FDWA)" (2023, 17 citations), addresses a critical gap in robotics: the inability of traditional algorithms to handle real-world unpredictability. By integrating the Rapidly-exploring Random Tree Star (RRT*) with a fuzzy logic-enhanced Dynamic Window Approach, Wu developed a hybrid framework that enables robots to generate safe, efficient trajectories even amidst moving obstacles. This contribution has been widely recognized for bridging theoretical planning with practical deployment, offering a robust solution for applications like warehouse automation and autonomous navigation. Beyond this flagship paper, Wu’s research consistently explores adaptive control and sensor fusion, pushing the boundaries of real-time decision-making in robotics. Their work has garnered attention from both academia and industry, with citations reflecting its growing influence in the field. For students and researchers, Wu’s innovations serve as a cornerstone for advancing intelligent, resilient robotic systems capable of operating safely in complex, unpredictable settings.
Research Focus
Key Achievements
Top Papers
- 1