Machine learning in planetary rovers: A survey of learning versus classical estimation methods in terramechanics for in situ exploration
Author:
Publisher
Elsevier BV
Subject
Mechanical Engineering
Reference76 articles.
1. Learning and prediction of slip from visual information;Angelova;Journal of Field Robotics,2007
2. Raymond E Arvidson, James F Bell III, P Bellutta, Nathalie A Cabrol, JG Catalano, J Cohen, Larry S Crumpler, DJ Des Marais, TA Estlin, WH Farrand, et al. Spirit mars rover mission: Overview and selected results from the northern home plate winter haven to the side of scamander crater. Journal of Geophysical Research: Planets, 115(E7), 2010.
3. Raymond E Arvidson, Karl D Iagnemma, Mark Maimone, Abigail A Fraeman, Feng Zhou, Matthew C Heverly, Paolo Bellutta, David Rubin, Nathan T Stein, John P Grotzinger, et al. Mars science laboratory curiosity rover megaripple crossings up to sol 710 in gale crater. Journal of Field Robotics, 34(3), 495–518, 2017.
4. Deep multi-layer perception based terrain classification for planetary exploration rovers;Bai;Sensors,2019
5. Off-the-road locomotion: research and development in terramechanics;Bekker,1960
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