Papers

25

Total Citations

784

H-Index

14

About

Jeremy Nash is a robotics researcher whose work spans extreme terrain mobility, autonomous systems, and space exploration robotics. He is perhaps best known for his contributions to NASA's LEMUR 3 project, a four-limbed climbing robot capable of scaling cliff faces and smooth glass surfaces, which has garnered over 150 citations and represents a significant leap in robot locomotion for unstructured environments. Nash has also made substantial contributions to subterranean autonomy through his involvement with TEAM CoSTAR, whose NeBula framework helped win Phase II of the prestigious DARPA Subterranean Challenge — work that has collectively attracted over 150 citations across related publications. His research extends to novel sensing modalities, including event camera-based odometry for planetary robots and lidar-centric mapping solutions, reflecting a deep interest in perception under challenging conditions. Nash's contributions to the RoboSimian platform at the 2015 DARPA Robotics Challenge and the visionary EELS snake-like robot designed to explore icy worlds like Enceladus further demonstrate his range. Across his career, Nash has consistently bridged hardware innovation and algorithmic autonomy, producing research with lasting influence across planetary science, field robotics, and space exploration.

Research Focus

Key Achievements

14
H-Index
25
Papers
784
Total Citations
31
Avg Citations/Paper
🏆 Most Cited Paper
LEMUR 3: A limbed climbing robot for extreme terrain mobility in space
153 citations · 2017
📈 Most Prolific Year: 2024 (5 Papers)
🤝 Key Collaborators: 320
🏛 Institutions: California Institute of Technology, Jet Propulsion Laboratory

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago