Yiyi Hu

Zhongnan University of Economics and Law

Papers

Total Citations

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About

Dr. Yiyi Hu is a leading researcher in the field of autonomous robotics, with a primary focus on intelligent motion planning and adaptive obstacle avoidance. Her most significant contribution is the development of a novel hybrid algorithm that integrates Deep Deterministic Policy Gradient (DDPG) reinforcement learning with the Dynamic Window Approach (DWA). This work, detailed in her highly cited 2023 paper "Research on adaptive obstacle avoidance algorithm of robot based on DDPG-DWA," addresses a critical challenge in robotics: enabling mobile robots to navigate complex, dynamic environments safely and efficiently. By combining the deep learning-based decision-making of DDPG with the real-time, reactive control of DWA, Dr. Hu’s algorithm achieves superior performance in avoiding both static and moving obstacles, significantly reducing collision rates and path planning time. Her research has garnered over 38 citations, reflecting its immediate impact on the robotics community. Dr. Hu’s work is particularly notable for bridging the gap between model-free reinforcement learning and classical control theory, offering a practical, scalable solution for autonomous navigation in warehouses, service robots, and autonomous vehicles.