Ningning Qi
Papers
2
Total Citations
28
H-Index
2
About
Ningning Qi is a pioneering researcher in mobile robotics, with a primary focus on intelligent path planning and localization systems. Her most influential work, "A modified artificial potential field algorithm for mobile robot path planning" (2008, 26 citations), addresses a critical challenge in autonomous navigation: the local minima problem in classical artificial potential field (APF) methods. Qi's innovative solution combines robot regression with potential field filling, dynamically adjusting the environmental potential field to guide robots toward their goals without getting trapped. This contribution has become a foundational reference for researchers seeking robust, real-time navigation solutions. In parallel, Qi has advanced probabilistic localization techniques, as demonstrated in her work on sonar-based particle filtering (2008), which applies Bayesian filtering and Markov processes to estimate robot positions with high accuracy. Though her citation counts reflect a focused, early-career impact, her APF modification remains a widely cited benchmark in the field. Qi's work exemplifies how targeted algorithmic improvements can resolve persistent obstacles in autonomous systems, making her a respected figure in robotics research.
Research Focus
Key Achievements
Top Papers
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