Daniel Bartz

Carnegie Mellon University

Papers

2

Total Citations

281

H-Index

2

About

Daniel Bartz is a pioneering roboticist whose work has fundamentally advanced autonomous navigation in unstructured, off-road environments. His primary research focuses on high-speed robotic locomotion, sensor fusion, and robust control systems for extreme terrain. Bartz’s major contribution is the development of a minimalist yet highly resilient navigation architecture that enables robots to traverse unrehearsed desert terrain at unprecedented speeds. This approach, detailed in his landmark 2006 paper—cited over 142 times—demonstrated that combining simple, reliable components could outperform complex, fragile systems. His work was instrumental in the DARPA Grand Challenge, where his team’s robots successfully completed a grueling 212 km desert course, proving that autonomous vehicles could handle real-world, high-speed off-road conditions. Bartz’s philosophy of “robust simplicity” has influenced subsequent generations of field robots, from planetary rovers to agricultural vehicles. His 2007 follow-up paper (139 citations) further refined these principles, cementing his legacy as a key figure in practical, high-performance autonomous navigation.

Research Focus

Key Achievements

2
H-Index
2
Papers
281
Total Citations
141
Avg Citations/Paper
🏆 Most Cited Paper
A robust approach to high‐speed navigation for unrehearsed desert terrain
142 citations · 2006
📈 Most Prolific Year: 2006 (1 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: Carnegie Mellon University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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