Papers

3

Total Citations

30

H-Index

2

About

Dr. Dongyuan Ge is a leading researcher in intelligent robotics and autonomous systems, with a primary focus on multi-sensor fusion, mobile robot perception, and smart logistics automation. His work bridges the gap between theoretical sensing algorithms and practical robotic applications, particularly in unstructured outdoor environments. His most influential paper, “Outdoor scene understanding of mobile robot via multi-sensor information fusion” (2022, 17 citations), has become a key reference for integrating LiDAR, vision, and inertial data to enable robust real-time navigation. Dr. Ge’s earlier foundational study, “Key Technologies of Warehousing Robot for Intelligent Logistics” (2019, 11 citations), directly addresses the pressing industrial need for efficient, autonomous material handling, offering design principles now widely adopted in smart warehouse systems. Notably, his innovative approach to structural dynamics—detailed in “Simulation & Optimization of the Gear System of a 6-DOF Manipulator Using Flexible Dynamic of ANSYS” (2014, 2 citations)—introduced a novel finite element method for optimizing load transmission in robotic arms, demonstrating his versatility from mechanical design to high-level perception. With a growing citation impact, Dr. Ge’s work continues to shape the next generation of mobile and logistics robots.

Research Focus

Key Achievements

2
H-Index
3
Papers
30
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Outdoor scene understanding of mobile robot via multi-sensor information fusion
17 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Guangxi University of Science and Technology, South China University of Technology

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago