Theo Stangebye

Baylor University

Papers

1

Total Citations

6

H-Index

1

About

Theo Stangebye is a robotics researcher whose work centers on high-precision localization for mobile robots, with a particular focus on Global-Positioning-System Real-Time-Kinematics (GPS-RTK) technology. His most cited paper, "Custom Real-Time-Kinematics Positioning System Testbed for Mobile Robot Localization" (2020, 6 citations), makes a significant contribution by demystifying the system-level inter-workings of GPS-RTK—a highly accurate yet often opaque positioning method that has recently become more affordable. Stangebye’s major contribution lies in designing and characterizing a custom testbed that allows researchers and engineers to understand, replicate, and improve upon GPS-RTK systems for mobile robot navigation. By breaking down the complexities of this technology, his work bridges the gap between theoretical positioning accuracy and practical implementation, enabling more reliable localization in real-world robotic applications. This research is particularly valuable for students and practitioners seeking accessible, hands-on insights into high-precision GPS systems. Stangebye’s efforts help democratize advanced positioning tools, fostering innovation in autonomous navigation, field robotics, and precision agriculture. His work exemplifies how careful system design and transparent reporting can accelerate progress in robotics localization.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Custom Real-Time-Kinematics Positioning System Testbed for Mobile Robot Localization
6 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Baylor University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago