Mengjie Jing
Papers
2
Total Citations
10
H-Index
2
About
Mengjie Jing is a rising researcher in the field of robotics and autonomous systems, with a focused expertise in multi-robot coordination and source localization in hazardous indoor environments. Her work addresses the critical challenge of rapidly detecting chemical, biological, or radioactive leaks to minimize threats to life and property. Jing’s major contributions include the development of an exploration-enhanced search algorithm that overcomes the limitations of dense obstacles and complex airflow in unknown indoor spaces, enabling robots to efficiently locate sources even when initial positions are unknown. She has further advanced the field with a priority-based multi-robot search algorithm, which tackles issues like navigating large, airflow-dead zones and coordinating multiple agents in cluttered settings. With her most-cited paper from 2024 already garnering 6 citations and a 2025 follow-up receiving 4, Jing’s work is gaining traction for its practical impact on emergency response robotics. Her research represents a significant step toward deploying robust, autonomous teams for indoor source searching, promising safer and faster mitigation of accidental releases.
Research Focus
Key Achievements
Top Papers
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- 2