Tsing Tshih Tsung

Chinese Culture University

Papers

2

Total Citations

12

H-Index

2

About

Tsing Tshih Tsung is a robotics researcher whose work focuses on the critical intersection of sensor performance and mobile robot control. His primary research areas include sensor characterization, dynamic system identification, and proximity sensing for autonomous navigation. Tsung’s major contributions lie in establishing rigorous methodologies for measuring both static and dynamic performance of inductive proximity switches—sensors essential for obstacle detection and path planning in mobile robots. His 2013 paper on static performance measurement (6 citations) provides foundational benchmarks for sensor accuracy, while his 2014 follow-up on dynamic performance (6 citations) addresses the real-world complexities of sensor behavior during motion, such as material-dependent sensing distances and environmental interference. Though his citation counts are modest, Tsung’s work is notable for bridging the gap between theoretical sensor models and practical robotic applications. By demonstrating that static performance alone is insufficient for precise control, he has highlighted the need for comprehensive dynamic testing—a principle that informs modern autonomous system design. His research serves as a valuable resource for engineers developing robust proximity-based navigation systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
12
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Measurement of Static Performance of Inductive Proximity Switch for a Mobile Robot
6 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Chinese Culture University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago