Xuyang Zhao
Papers
2
Total Citations
16
H-Index
2
About
Xuyang Zhao is a robotics researcher specializing in autonomous exploration, simultaneous localization and mapping (SLAM), and perception for dynamic environments. Their work addresses fundamental challenges in enabling robots to operate intelligently and reliably in real-world, unstructured settings. Zhao’s most influential contribution, "TDLE: 2-D LiDAR Exploration with Hierarchical Planning Using Regional Division," has garnered 13 citations and introduces a novel hierarchical planning framework that overcomes the inefficiency of greedy exploration strategies and the computational burden of global optimization, significantly advancing autonomous robot navigation. In parallel, their work "DOTF-SLAM: Real-Time Dynamic SLAM Using Dynamic Object Tracking and Key-Point Filtering" tackles the critical limitation of traditional SLAM systems that assume static scenes. With 3 citations, this research provides a real-time solution for robust localization and mapping in dynamic environments—essential for applications like autonomous driving and multi-robot collaboration. By integrating dynamic object tracking with intelligent key-point filtering, Zhao enables SLAM systems to maintain accuracy amidst moving obstacles. Their contributions are pivotal for the next generation of autonomous systems that must perceive and navigate complex, changing surroundings.
Research Focus
Key Achievements
Top Papers
- 1
- 2