Yaqiong Lv
Papers
3
Total Citations
140
H-Index
3
About
Dr. Yaqiong Lv is a leading researcher at the intersection of intelligent manufacturing, robotics, and cyber-physical systems. Her work focuses on revolutionizing industrial logistics and automation through the integration of artificial intelligence and multi-agent systems. Dr. Lv’s seminal 2019 paper on "Smart robotic mobile fulfillment systems with dynamic conflict-free strategies" (93 citations) established foundational methods for coordinating robot fleets in warehouse environments, directly addressing the scalability challenges of modern e-commerce fulfillment. She further advanced this field with her 2023 work on hierarchical multi-agent deep Q-networks (36 citations), enabling smarter, decentralized decision-making for mobile robots in complex manufacturing settings. Demonstrating her versatility in control theory, Dr. Lv’s 2022 paper on observer-based control using actor-critic reinforcement learning (11 citations) provides a novel framework for integrating fault detection with adaptive control in mechatronic systems. Her research is characterized by a practical, systems-level approach that bridges theoretical reinforcement learning with real-world robotic applications, making her a key contributor to the next generation of autonomous, intelligent manufacturing ecosystems.
Research Focus
Key Achievements
Top Papers
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