A geometry-based slip prediction model for planetary rovers
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering
Reference25 articles.
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2. Learning and prediction of slip from visual information;Angelova;Journal of Field Robotics,2007
3. Characterization of traverse slippage experienced by Spirit rover on Husband Hill at Gusev crater;Li;Journal of Geophysical Research-Planets,2008
4. Slippage and immobilization detection for planetary exploration rovers via machine learning and proprioceptive sensing;Gonzalez;Journal of Field Robotics,2018
5. Opportunity rover localization and topographic mapping at the landing site of Meridiani planum, Mars;Li;Journal of Geophysical Research-Planets,2007
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