Nicolas Eyssette

Florida Institute for Human and Machine Cognition

Papers

2

Total Citations

56

H-Index

2

About

Nicolas Eyssette is a robotics researcher whose work centers on humanoid locomotion, whole-body control, and field robotics—particularly in high-stakes, disaster-response scenarios. As a key member of Team IHMC, he contributed to one of the most celebrated achievements in modern robotics: placing first or second overall in every phase of the DARPA Robotics Challenge (DRC). His most cited paper, *“Team IHMC’s Lessons Learned from the DARPA Robotics Challenge: Finding Data in the Rubble”* (2016, 51 citations), provides a rare, behind-the-scenes look at the rapid innovation required to make humanoid robots operate reliably in unstructured, rubble-strewn environments. This work distilled critical insights into balance control, perception under duress, and operator interface design—lessons that continue to shape the field. Eyssette’s contributions helped demonstrate that humanoid robots could, in fact, perform complex, multi-step tasks in real-world chaos, advancing the frontier of practical legged robotics. His research remains a touchstone for engineers tackling the gap between lab capabilities and field deployment, making him a notable figure in the ongoing quest for resilient, disaster-ready robots.

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

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago