Degang Yang

Chongqing Normal University

Papers

1

Total Citations

2

H-Index

1

About

Degang Yang is a researcher specializing in intelligent robotics and embedded control systems, with a focus on mobile robot design and autonomous navigation. His most-cited work, "Design of an Intelligent Car for Searching Track and Avoiding Obstacles" (2015), demonstrates his contributions to integrating hardware platforms like UP-InnoSTART™ robot kits and MultiFLEX™ 2-PXA270 controllers to create practical, autonomous vehicles capable of track following and obstacle avoidance. While his citation count remains modest at 2, this paper reflects his hands-on approach to bridging theoretical robotics with real-world implementation, emphasizing cost-effective, modular designs for educational and research applications. Yang’s work contributes to the broader field of intelligent transportation and service robotics, offering a foundation for students and engineers exploring embedded systems and sensor-based control. His research underscores the importance of accessible prototyping in advancing mobile robot capabilities, making him a notable figure in applied robotics education and development.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Design of an Intelligent Car for Searching Track and Avoiding Obstacles
2 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Chongqing Normal University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago