Characterization of machine learning algorithms for slippage estimation in planetary exploration rovers
Author:
Funder
NASA
Publisher
Elsevier BV
Subject
Mechanical Engineering
Reference22 articles.
1. Learning and prediction of slip from visual information;Angelova;J. Field Robot.,2007
2. Unsupervised detection of soil embedding events for planetary exploration rovers;Bouguelia;J. Terrramech.,2017
3. Slippage and immobilization detection for planetary exploration rovers via machine learning and proprioceptive sensing;Gonzalez;J. Field Robot.,2018
4. Slippage estimation and compensation for planetary exploration rovers. State of the art and future challenges;Gonzalez;J. Field Robot.,2018
5. Autonomous Tracked Robots in Planar Off-Road Conditions. Modelling, Localization and Motion Control;Gonzalez,2014
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