About

Dongxing Qin is a researcher in mobile robotics, specializing in localization, motion planning, and nonholonomic control systems. His most cited work, "Localization of Wheeled Mobile Robot Based on Extended Kalman Filtering" (2015, 5 citations), presents a novel multi-sensor fusion approach that combines relative positioning from code salvers and gyroscopes with absolute orientation from laser radar. This method enables robust robot localization in mapped environments, addressing key challenges in autonomous navigation. Qin's earlier research, including "Nonholonomic Motion Planning of Mobile Robot with Ameliorated Genetic Algorithm" (2006, 3 and 2 citations), tackles the complex optimal control problem of nonholonomic mobile robots. By applying an improved genetic algorithm to kinematic and dynamic equations, he developed efficient path planning solutions for systems with motion constraints. Though his citation counts are modest, Qin's work contributes foundational techniques in sensor integration and optimization-based planning for wheeled robots, offering practical insights for students and researchers working on autonomous navigation systems.

Research Focus

Key Achievements

2
H-Index
3
Papers
10
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Localization of Wheeled Mobile Robot Based on Extended Kalman Filtering
5 citations · 2015
📈 Most Prolific Year: 2006 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Chengdu University of Information Technology, University of Electronic Science and Technology of China

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago