David Thomas

Michigan United

Papers

1

Total Citations

8

H-Index

1

About

David Thomas is a leading researcher in robotics and autonomous systems, with a primary focus on precision localization and navigation for unmanned ground vehicles (UGVs). His most notable contribution is the development of Heuristics-Enhanced Dead-reckoning (HEDR), a groundbreaking approach for accurate indoor position tracking of tele-operated robots. Unlike GPS-dependent systems, HEDR leverages low-cost MEMS-based gyroscopes and odometry, correcting heading errors without external references—a critical advancement for GPS-denied environments. This work, published in 2010, has garnered 8 citations and laid the foundation for cost-effective, reliable navigation in complex indoor settings. Thomas’s research bridges the gap between affordability and accuracy, enabling robust UGV performance in search-and-rescue, industrial inspection, and military operations. His achievements highlight a commitment to practical, scalable solutions that push the boundaries of autonomous mobility, making him a key figure in the evolution of real-world robotic navigation.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Heuristics-enhanced dead-reckoning (HEDR) for accurate position tracking of tele-operated UGVs
8 citations · 2010
📈 Most Prolific Year: 2010 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Michigan United

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago