Alex Graber‐Tilton

Florida Institute for Human and Machine Cognition

Papers

2

Total Citations

56

H-Index

2

About

Alex Graber-Tilton is a robotics researcher best known for his pivotal role in Team IHMC’s standout performance at the DARPA Robotics Challenge (DRC). His primary research areas span humanoid robotics, real-time control systems, and disaster response autonomy. Graber-Tilton’s major contribution lies in distilling the hard-won lessons from the DRC—a grueling competition that pushed teams to develop robots capable of navigating rubble, operating valves, and driving vehicles in simulated emergency scenarios. His most-cited work, “Team IHMC’s Lessons Learned from the DARPA Robotics Challenge: Finding Data in the Rubble” (2016, 51 citations), provides a retrospective analysis of the team’s strategies, which secured first or second place overall in all three phases. This paper has become a foundational reference for researchers tackling complex, real-world robotic challenges, offering insights into balancing rapid prototyping with robust system integration. Graber-Tilton’s achievements underscore his expertise in bridging theoretical control algorithms with practical deployment, making his work essential reading for students and engineers aiming to advance autonomous systems in unstructured environments.

Research Focus

Key Achievements

2
H-Index
2
Papers
56
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
Team IHMC's Lessons Learned from the DARPA Robotics Challenge: Finding Data in the Rubble
51 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: Florida Institute for Human and Machine Cognition

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago