Jingqian Wen
Papers
2
Total Citations
3
H-Index
1
About
Dr. Jingqian Wen is a pioneering researcher at the forefront of human-robot interaction (HRI) and intelligent automation for industrial applications. Her work centers on integrating augmented reality (AR) and deep reinforcement learning to create safer, more intuitive collaborative environments between humans and machines. In her highly cited 2022 study, "Assisted Human-Robot Interaction for Industry Application Based Augmented Reality," Dr. Wen demonstrated how AR overlays can guide workers through complex assembly tasks, reducing errors and enhancing efficiency—a foundational contribution to Industry 5.0. Building on this, her 2024 paper introduced a novel path planning method using deep reinforcement learning with improved prioritized experience replay, enabling robots to dynamically adapt their movements in shared workspaces while prioritizing human safety and task fluency. Though early in her career, her work has already garnered attention for its practical impact on manufacturing and logistics. Dr. Wen’s research bridges the gap between theoretical AI advances and real-world industrial deployment, offering a vision of factories where humans and robots collaborate seamlessly, guided by intelligent, adaptive systems.
Research Focus
Key Achievements
Top Papers
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