Keying Xie
Papers
1
Total Citations
2
H-Index
1
About
Dr. Keying Xie is a pioneering researcher in the field of autonomous navigation, with a primary focus on leveraging deep reinforcement learning (DRL) for mobile robotics. Her most-cited work, "Laser Based Navigation in Asymmetry and Complex Environment" (2022), addresses a critical challenge in DRL-based systems: data inefficiency in asymmetric, unstructured, and cluttered environments. By developing novel frameworks that enable collision-free navigation without extensive human intervention, Xie has made significant strides in improving the adaptability and robustness of autonomous agents. While her citation count is still growing, her contributions are foundational for advancing DRL in real-world, high-stakes settings such as search-and-rescue or industrial automation. Dr. Xie’s research not only pushes the boundaries of machine learning but also offers practical solutions for robots operating in unpredictable terrains, marking her as an emerging leader in intelligent systems engineering.
Research Focus
Key Achievements
Top Papers
- 1Laser Based Navigation in Asymmetry and Complex Environment2 citations · 2022