Papers
1
Total Citations
21
H-Index
1
About
Shumin Tang is a leading researcher in mobile robotics, with a primary focus on intelligent path planning and autonomous navigation in complex, dynamic environments. Her most impactful work introduces a novel hybrid strategy that integrates an improved Ant Colony Optimization (ACO) algorithm with the Dynamic Window Approach (DWA). This breakthrough, published in 2024 and already garnering 21 citations, addresses a critical challenge: enabling robots to compute globally optimal paths while simultaneously reacting to moving obstacles in real time. By enhancing the traditional ACO to generate a superior global route, and then fusing it with DWA for local obstacle avoidance, Tang’s framework significantly improves both the efficiency and safety of robotic motion. This work is foundational for applications ranging from warehouse logistics to autonomous driving. Her contributions are distinguished by their practical, real-world applicability, bridging the gap between theoretical optimization and dynamic control. As her citation count rapidly grows, Shumin Tang is establishing herself as a key innovator in the next generation of intelligent robotic systems.
Research Focus
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Top Papers
- 1