The AMADEE-20 Robotic Exploration Cascade: An Experience Report

Hamid Didari Khamseh Motlagh, Matthias Josef Eder, Gernot Grömer, Richard Halatschek, Seda Özdemir-Fritz, Raphael Prinz, Johannes Scholz, Gerald Steinbauer-Wagner*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review


As part of the AMADEE-20 Mars analog mission, an exploration cascade for the remote sensing of extraterrestrial terrain was implemented. For this purpose autonomous mobile as well as aerial robots were conceptualized and used in an iterative exploration cascade. First, satellite imagery was analyzed using Deep Learning methods. This large but low resolution image was used as a basis for mission planning as well as for an initial traversability analysis for the ground robot. High resolution low orbit aerial images of a defined area of interest were then recorded, and utilized together with the low resolution map were in a path planning tool for the mobile robot. The mobile robot uses a navigation concept of global and local planning as well as local perception to navigate to the area of interest. Experiments during the AMADEE-20 mission in the Israeli Negev Desert validated the exploration cascade
Original languageEnglish
Title of host publicationAdvances in Service and Industrial Robotics - RAAD 2022
EditorsAndreas Müller, Mathias Brandstötter
Place of PublicationCham
Number of pages8
ISBN (Print)9783031048692
Publication statusPublished - 2022
Event31st International Conference on Robotics in Alpe-Adria-Danube Region: RAAD 2022 - Klagenfurt, Austria
Duration: 8 Jun 202210 Jun 2022

Publication series

NameMechanisms and Machine Science
Volume120 MMS
ISSN (Print)2211-0984
ISSN (Electronic)2211-0992


Conference31st International Conference on Robotics in Alpe-Adria-Danube Region
Abbreviated titleRAAD 2022


  • Field robotics
  • Robot navigation
  • Space exploration

ASJC Scopus subject areas

  • Mechanics of Materials
  • Mechanical Engineering


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