Zhenni Liu

Zhongnan University of Economics and Law

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Total Citations

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About

Dr. Zhenni Liu is a robotics researcher whose work focuses on intelligent path planning and adaptive obstacle avoidance, particularly for high-risk environments. Her major contributions lie at the intersection of reinforcement learning and mobile robotics, where she has developed novel algorithms to enable autonomous navigation in complex, hazardous settings. Her most influential work, "Research on adaptive obstacle avoidance algorithm of robot based on DDPG-DWA" (2023, 33 citations), integrates deep deterministic policy gradients with dynamic window approaches to create a robust, real-time navigation system. This work has been foundational for researchers working on safe robot movement in unpredictable spaces. In another notable study, Dr. Liu tackled the critical challenge of full coverage path planning for emergency fire control robots in nuclear environments, addressing the unique difficulties of irregular spatial geometry and dense obstacle distributions. Her research directly contributes to advancing autonomous systems for disaster response and nuclear safety, demonstrating both theoretical depth and practical urgency. With her innovative use of reinforcement learning for constrained, dangerous settings, Dr. Liu is establishing herself as a key voice in the future of field robotics.