Towards in-situ characterization of regolith strength by inverse terramechanics and machine learning: A survey and applications to planetary rovers-Reference-Cited by-同舟云学术

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Towards in-situ characterization of regolith strength by inverse terramechanics and machine learning: A survey and applications to planetary rovers

Published:2021-09 Issue: Volume:204 Page:105271
ISSN:0032-0633
Container-title:Planetary and Space Science
language:en
Short-container-title:Planetary and Space Science

Author:

Lopez Arreguin Amenosis,Montenegro Sergio,Dilger Erik

Publisher

Elsevier BV

Subject

Space and Planetary Science,Astronomy and Astrophysics

Reference62 articles.

1. Mars science laboratory curiosity rover megaripple crossings up to sol 710 in gale crater;Arvidson;J. Field Robot.,2017

2. Deep multi-layer perception based terrain classification for planetary exploration rovers;Bai;Sensors,2019

3. Theory of Land Locomotion;Bekker,1956

4. Off-the-road Locomotion: Research and Development in Terramechanics;Bekker,1960

5. Probleme zur experimentellen motorpflugmechanik;Bernstein;Der Motorwagen,1913

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1. Rovers with Rocker-Bogie Mechanisms: A review of progress and innovations in design, manufacturing, and control;Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science;2024-01-27

2. Design and Development of Land Rover for Disaster Management;2023 Innovations in Power and Advanced Computing Technologies (i-PACT);2023-12-08

3. Semantic Terrain Segmentation in the Navigation Vision of Planetary Rovers—A Systematic Literature Review;Sensors;2022-11-01

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