Garett Sohl

University of California, Irvine

Papers

5

Total Citations

274

H-Index

4

About

Garett Sohl is a robotics and computational dynamics researcher whose work bridges the fields of multibody dynamics, robotic motion optimization, and planetary rover simulation. His research has made significant contributions to both the theoretical foundations of robotic systems and their practical application in space exploration. Sohl's most influential work, "Optimal Robot Motions for Physical Criteria" (2001, 120 citations), introduced an optimization-based framework for emulating human motor coordination and learning, offering a powerful approach to modeling low-level biological motor behavior in robotic systems. His recursive multibody dynamics algorithm (2000, 68 citations) provided an efficient computational method applicable to a broad range of complex systems, including underactuated robots and walking machines — a foundational contribution to robotic dynamics modeling. Perhaps most notably, Sohl played a key role in developing ROAMS, a physics-based planetary rover simulation environment (2003, 76 citations), which became an essential tool for planning and testing NASA rover missions, including the Mars Exploration Rovers and the Mars Science Laboratory. His subsequent work on vehicle-terrain interaction modeling further refined the physical accuracy of these simulations. Across his career, Sohl's research has meaningfully advanced both autonomous robotics and the tools that enable humanity's exploration of other worlds.

Research Focus

Key Achievements

4
H-Index
5
Papers
274
Total Citations
55
Avg Citations/Paper
🏆 Most Cited Paper
Optimal robot motions for physical criteria
120 citations · 2001
📈 Most Prolific Year: 2003 (2 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: University of California, Irvine

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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