NASA NTRS · 20230000243
LASSIE: Legged Autonomous Surface Science In Analogue Environments
Abstract
Roving planetary surface exploration missions operate using a pre-programmed plan that can limit the capability to effectively detect unexpected changes in terrain properties, adjust locomotion or sampling strategies, and autonomously identify scientifically valuable observations and adjust exploration strategies. In particular, the inability to measure and react to unexpected changes in regolith properties can negatively impact mission operations. The Mars Exploration Rover Spirit and InSight lander both experienced challenges related to understanding the geotechnical properties of regolith. The advancements in legged robotic platforms hold potential to address these challenges through greater sensitivity to changing surface properties. The Legged Autonomous Surface Science In Analogue Environments (LASSIE) project explores how legged roving platforms can use the leg motors to measure geotechnical properties of crusted and icy surface regolith and utilize those measurements to autonomously update the science operations plans. These tests will be performed in martian and lunar analog environments and also within lab settings.
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K. R. Fisher, F. Qian, D. Jerolmack, F. Rivera-Hernandez, C. Wilson, R.C. Ewing, M. Nachon, T. Shipley, D. Koditschek. LASSIE: Legged Autonomous Surface Science In Analogue Environments. https://ntrs.nasa.gov/citations/20230000243
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