Papers

2

Total Citations

4

H-Index

2

About

Tingyang Xie is an emerging researcher specializing in autonomous mobile robotics, with a particular focus on Simultaneous Localisation and Mapping (SLAM) — a cornerstone technology enabling intelligent robots to navigate and understand their environments in real time. Xie's work centers on the intersection of Lidar-based and visual SLAM (VSLAM) methodologies, exploring algorithmic improvements and practical implementations that push the boundaries of mobile robot navigation. Their most notable contributions examine the comparative landscape of SLAM solutions, providing comprehensive analyses of both sensor modalities while proposing enhancements to existing frameworks. Published across 2020 and 2021, these works reflect a consistent and focused research trajectory at a time when VSLAM was rapidly gaining traction as a research hotspot within the robotics community. Each publication has garnered 2 citations, signaling early-stage recognition within the field. For students and researchers entering the robotics domain, Xie's work offers a valuable synthesis of current SLAM methodologies, making it a useful reference for understanding the foundational algorithmic approaches that underpin modern autonomous systems. As the field of intelligent mobile robotics continues to expand, Xie's contributions represent a promising foundation for further scholarly development.

Research Focus

Key Achievements

2
H-Index
2
Papers
4
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Simultaneous localisation and mapping of intelligent mobile robots
2 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: The Ohio State University, North China University of Science and Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago