Meng Ji
Papers
1
Total Citations
8
H-Index
1
About
Meng Ji is a rising researcher in autonomous navigation and robotic perception, with a focus on trajectory planning for target tracking in complex, cluttered environments. Her most-cited work, “Probabilistic Visibility-Aware Trajectory Planning for Target Tracking in Cluttered Environments” (2024, 8 citations), introduces a novel framework that ensures persistent visibility of a moving target by accounting for probabilistic occlusion and field-of-view constraints. This contribution addresses a critical gap in existing visibility-aware planners, which often fail in dynamic or obstacle-rich settings. Ji’s approach enhances the reliability of autonomous systems in both civilian applications—such as surveillance and search-and-rescue—and military operations. Her work is notable for integrating probabilistic reasoning with real-time planning, enabling robots to maintain target lock even under challenging conditions. As an early-career scholar, Ji’s research is already shaping the next generation of intelligent tracking systems, offering practical solutions for drones, ground vehicles, and other autonomous platforms. Her achievements underscore a promising trajectory in robotics and control, with potential to influence safety-critical autonomous operations.
Research Focus
Key Achievements
Top Papers
- 1