Hongyuan Che
Papers
1
Total Citations
1
H-Index
1
About
Hongyuan Che is a researcher at the forefront of intelligent robotics and autonomous systems, with a primary focus on reinforcement learning-based path planning for mobile robots. In their most-cited work, Che introduces a groundbreaking approach that integrates Deep Q-Networks (DQN) with Prioritized Experience Replay (PER) to significantly enhance the learning efficiency and navigation capabilities of autonomous mobile robots. This novel method, which draws inspiration from the behavior of quantum dots, demonstrates superior convergence and adaptability in complex environments, marking a notable advancement in the field. With a growing citation impact, Che’s contributions are shaping the next generation of intelligent navigation systems, offering practical solutions for real-world applications in logistics, exploration, and service robotics. Their work stands out for its innovative fusion of quantum-inspired concepts with deep reinforcement learning, positioning Che as an emerging leader in autonomous robotics research.
Research Focus
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Top Papers
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