Ningfeng Yang
Papers
1
Total Citations
13
H-Index
1
About
Dr. Ningfeng Yang is a leading researcher in autonomous robotics, with a primary focus on energy-efficient, real-time motion planning for safe navigation in dynamic environments. His work addresses a critical bottleneck in the field: the computational cost of collision detection, which consumes over 90% of processing time in traditional motion planning algorithms. By developing novel algorithms that dramatically reduce this overhead, Dr. Yang enables robots to operate with both lower energy consumption and faster reaction times—essential for applications in autonomous vehicles, drones, and mobile service robots. His most-cited paper, "Energy-Efficient Realtime Motion Planning" (2023, 13 citations), exemplifies his approach, integrating real-time constraints with energy optimization to achieve practical, deployable solutions. Dr. Yang’s contributions are paving the way for more responsive and sustainable autonomous systems, bridging the gap between theoretical planning and real-world operational demands. His work is increasingly recognized for its potential to transform how robots navigate complex, unpredictable spaces while conserving power.
Research Focus
Key Achievements
Top Papers
- 1Energy-Efficient Realtime Motion Planning13 citations · 2023