Changes for page Amadee-24-Genes4Mars
Last modified by Hermann Hinterhauser on 2024/03/26 12:01
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edited by Hermann Hinterhauser
on 2024/03/25 11:54
on 2024/03/25 11:54
edited by Hermann Hinterhauser
on 2024/03/25 11:52
on 2024/03/25 11:52
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... ... @@ -2,16 +2,10 @@ 2 2 3 3 |**Acronym**|SAMPLE 4 4 |**Description**|Rover traversability, teleoperations for sample acquisition and transport to Hab using semi-autonomous traverse finding rover. 5 -|**Principal Investigator (PI)**|Gerald Steinbauer-Wagne ~| [[steinbauer@ist.tugraz.at>>mailto:steinbauer@ist.tugraz.at]] 6 -|**Organisation** |Research Group for Autonomous Intelligent Systems, Institute of Software Technology, Graz University of Technology 7 -|**Co-Investigators**|((( 8 -Matthias Eder (Robot Software Specialist) 5 +|**Principal Investigator (PI)**|Gerald Steinbauer-Wagne ~| steinbauer@ist.tugraz.at 6 +|**Organisation** |Lunar Zebro team, Delft University of Technology 7 +|**Co-Investigators**|Lucie Ráčková ~| [[lucie.rackova@recetox.muni.cz>>mailto:lucie.rackova@recetox.muni.cz]] 9 9 10 -Hamid Didari (Robot Software Specialist) 11 - 12 -Richard Halatschek (Robot Engineer) 13 -))) 14 - 15 15 === Summary === 16 16 17 17 (% class="image" style="float:right" %) ... ... @@ -19,16 +19,13 @@ 19 19 [[image:ACT_manifest.png||height="266" width="399"]] 20 20 ))) 21 21 22 - Roversystemsusedinplanetaryexploration, forexampleCuriosityandPerseverance,have alreadyprovensuccessfulin past missions.However, the timedelaybetweentheMartian explorationsiteandtheMissionSupportCenter(MSC)onearthaswellas safety issuesconstitutelimiting factorsinthe autonomyof arover.Semi-AutonomousRobot Assistancefor Planetary Exploration(SAMPLE) addressesthis issue.16 +The use of remote-controlled robots may increase the safety, effectiveness, and efficiency of Martian exploration. Complex control is frustrating and distractive for the operator and negatively affectsefficiency and outcome of a task. To ensure the first mentioned attributes, HUMANISE (Human Machine Interaction, Stress, and Performance) addresses design, user experience and usability of rover controllers. 23 23 24 - Based on theMERCATORexperimentinAMADEE-20,SAMPLEaims toextend theaerafuseand autonomy of rovers.SAMPLE investigatesrobotcapabilitiessuch asphotogrammetry,in-situinstrumentplacing,and sample collectionombinedwithimprovedsemi-autonomousrobotcontroland the integrationinto the exploration cascadefor supportinggeologicalhypotheses.18 +The expected goal of HUMANISE is to gather information about the usability of rover controllers which contribute to the future design of such controllers. Usability shall be maximized so that the operator can primarily focus on the task and is not distracted by complicated interaction with the device or occurring errors. Findings of the experiment will be used to tailor future technology development which better suit the operators needs and thus promote efficiency and effectiveness. 25 25 26 -The e xpectedoutcome ofthe SAMPLE project isto providedata productslike3Dmaps,images,orspecialmeasurementsshortlyafter the exploration taskofarobot. Moreover, SAMPLEaims to provide sophisticatedvisualizationand toolsfor betterintegration of thescientificcapabilitiesof the rover into thedailyexplorationroutineoftheremotesciencesupportandthe analogastronauts.20 +Three different rover controllers will be tested by at least four analog astronauts in proximity to the rover. In the experiment, the analog astronaut is expected to perform different tasks. Consistency in the task and in the setting ensure objective comparability of the controllers in terms of its usability. Qualitive as well as quantities methods will be applied during AMADEE-24 mission. Standard questionnaires and biometrics will be applied for quantitative analysis. Interviews and video recordings will be interpreted for qualitative analysis. 27 27 28 -To meet the experiment objectives, in-situ measurements and data collection will be improved by implementing a robotic arm. The level of autonomy can be adjusted by the analog astronaut. Implementing machine learning algorithms allows for improving the long-range navigation skills of the rover. To provide detailed insights on remote locations of interest to the analog astronauts and the remote science team, SAMPLE applies methods from photogrammetry and mapping. 29 29 30 - 31 - 32 32 === Experiment Data === 33 33 34 34 (% style="height:10px; width:1000px" %)