Shanshan Ji

Papers

Total Citations

H-Index

About

Shanshan Ji is a researcher whose work lies at the intersection of robotics, artificial intelligence, and optimization algorithms. Her key research areas include robotic path planning, dynamic programming, and heuristic algorithm design. Ji’s most notable contribution is her extension of the dynamic programming algorithm for real-time collision avoidance in robotic navigation. In her highly cited 2012 paper, she addressed a critical limitation of traditional DP approaches—the waste of step number in tracking processes—by integrating distance-propagating techniques. This work provided a more efficient framework for robots to navigate complex environments while avoiding obstacles in real time. Ji also contributed to the analysis of heuristic functions in the A* algorithm, offering insights into how different heuristics affect search efficiency and optimality. Though her citation count is modest, her work represents an important incremental advance in practical path planning, bridging the gap between theoretical algorithm design and real-world robotic applications. Ji’s research continues to influence engineers and researchers working on autonomous navigation systems, particularly in scenarios requiring rapid, collision-free movement through dynamic environments.