Treffer 1 - 3 von 3 für Suche 'Lopez Arreguin, Amenosis', Suchdauer: 0,31s Treffer weiter einschränken
  1. 1
    Towards in-situ characterization of regolith strength by inverse terramechanics and machine learning: A survey and applications to planetary rovers

    Towards in-situ characterization of regolith strength by inverse terramechanics and machine learning: A survey and applications to planetary rovers von Lopez Arreguin, Amenosis, Montenegro, Sergio, Dilger, Erik

    Veröffentlicht in Planetary and space science

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  2. 2
    Machine learning in planetary rovers: A survey of learning versus classical estimation methods in terramechanics for in situ exploration

    Machine learning in planetary rovers: A survey of learning versus classical estimation methods in terramechanics for in situ exploration von Lopez-Arreguin, Amenosis Jose Ramon, Montenegro, Sergio

    Veröffentlicht in Journal of terramechanics

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  3. 3
    Improving Limitations of Rover Missions in the Moon and Planets by Unifying Vehicle–Terrain Interaction Models

    Improving Limitations of Rover Missions in the Moon and Planets by Unifying Vehicle–Terrain Interaction Models von Lopez-Arreguin, Amenosis Jose Ramon, Montenegro, Sergio


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