Jingjie Yang
Papers
1
Total Citations
33
H-Index
1
About
Dr. Jingjie Yang is a leading researcher in robotics and autonomous systems, with a primary focus on intelligent path planning and warehouse automation. Her most influential work, "A Novel Path Planning Algorithm for Warehouse Robots Based on a Two-Dimensional Grid Model" (2020, 33 citations), addresses a critical challenge in logistics by formulating goods transportation as a traveling salesman problem (TSP). Dr. Yang’s key contribution lies in simplifying traditional pile-based models to develop a more efficient, grid-based algorithm that optimizes robot navigation in complex warehouse environments. This innovation directly improves operational speed and reduces energy consumption in automated fulfillment centers. Her research bridges theoretical optimization and practical deployment, making her a sought-after voice in industrial robotics. With her work gaining traction among both academic peers and industry engineers, Dr. Yang continues to push the boundaries of autonomous navigation, demonstrating how algorithmic elegance can solve real-world logistical bottlenecks.
Research Focus
Key Achievements
Top Papers
- 1