Papers
6
Total Citations
34
H-Index
4
About
Aaron Gaut is a leading researcher in autonomous systems for space exploration, with a focus on perception, simulation, and robotic autonomy for planetary and ocean worlds missions. His work centers on developing high-fidelity simulation toolkits and closed-loop autonomy frameworks that enable spacecraft and robots to operate in extreme, uncertain environments. Gaut’s major contributions include the creation of IRIS, a perception sensor modeling system for planetary simulations, and ARIEL, an autonomous excavation site selection system for NASA’s Europa Lander Mission Concept, which replaces lengthy ground-in-the-loop processes with onboard decision-making. He also leads the development of Dshell-DARTS, a reusability-focused multi-mission simulation toolkit at NASA’s Jet Propulsion Laboratory, and EELS-DARTS, a simulator for snake-like robots designed for challenging terrain. His work has garnered over 30 citations, with his most-cited paper, “IRIS,” achieving 12 citations. Gaut’s achievements include advancing autonomy for ocean worlds missions and creating accessible training environments like Jupyter notebooks for multibody dynamics, making him a key figure in the future of autonomous space exploration.
Research Focus
Key Achievements
Top Papers
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- 3Development of a Lander Autonomy Testbed for Ocean Worlds Missions5 citations · 2021
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- 6A Jupyter Notebook Environment for Multibody Dynamics2 citations · 2020