Papers
1
Total Citations
36
H-Index
1
About
Yue Bai is a leading researcher in intelligent manufacturing and autonomous systems, with a focus on multi-agent coordination and deep reinforcement learning. Their most notable contribution is the development of a hierarchical multi-agent deep Q-network for smart mobile robot fleet management, a groundbreaking approach that enables efficient, real-time decision-making in complex industrial environments. This work, published in 2023 and already garnering 36 citations, demonstrates Bai’s ability to bridge theoretical advances in AI with practical manufacturing challenges. By integrating multi-agent systems with deep reinforcement learning, Bai’s research addresses critical issues in fleet coordination, path planning, and resource allocation, offering scalable solutions for Industry 4.0. Their work has significant implications for reducing operational costs and improving productivity in automated factories. Bai’s contributions are recognized as pivotal in advancing the field of intelligent robotics, and their research continues to inspire new directions in autonomous manufacturing and multi-agent system design.
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Top Papers
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