Ting-yu Yeh

Santa Clara University

Papers

1

Total Citations

10

H-Index

1

About

Dr. Ting-yu Yeh is a robotics researcher whose work centers on adaptive navigation and multirobot systems, with a particular focus on developing practical, low-cost solutions for experimental validation. Their most cited paper, "A low-cost indoor testbed for multirobot adaptive navigation research" (2018, 10 citations), introduces an accessible platform for studying how robots can navigate by responding to real-time environmental measurements rather than following pre-defined paths. This contribution addresses a critical gap in the field: while adaptive navigation—where movement decisions are informed by sensor data collected during operation—has been extensively theorized, affordable and repeatable testing environments have been scarce. By designing a testbed that lowers the barrier to entry for experimentation, Yeh has enabled other researchers to explore adaptive strategies in multirobot coordination without requiring expensive infrastructure. Though their citation count is modest, the work’s practical significance lies in its potential to democratize research in autonomous navigation, making it particularly valuable for educational settings and labs with limited resources. Yeh’s focus on bridging theory and accessible experimentation highlights a commitment to advancing robotics through reproducible, scalable tools.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
A low-cost indoor testbed for multirobot adaptive navigation research
10 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Santa Clara University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago