Jiawei Yan

Sichuan University of Science and Engineering

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Total Citations

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About

Jiawei Yan is a rising researcher in the fields of robotics and artificial intelligence, with a primary focus on autonomous navigation and deep reinforcement learning. His most-cited work, "Inspection Robot Navigation Based on Improved TD3 Algorithm" (2024, 22 citations), addresses a critical challenge in mobile robotics: enabling effective navigation in unfamiliar or dynamic environments where traditional map-based methods fail. By enhancing the Twin Delayed Deep Deterministic Policy Gradient (TD3) algorithm, Yan introduced a more robust decision-making framework for inspection robots, significantly improving their adaptability and performance in real-world scenarios. This contribution bridges the gap between theoretical reinforcement learning and practical robotic applications, offering a scalable solution for industries requiring autonomous inspection in complex settings. Yan's work has quickly gained attention, reflecting its timely relevance and potential for widespread adoption. His research not only advances the state of the art in robot navigation but also provides a foundation for future innovations in autonomous systems, making him a promising voice in the intersection of AI and robotics.