Changes for page Amadee-24-SAMPLE

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1		-Amadee-24-SAMPLE
	1	+Amadee-20-Template

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1		-AMADEE-24.WebHome
	1	+Main.WebHome

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1		-XWiki.hhinterhauser
	1	+XWiki.drabl

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1	1	=== Details ===
2	2
3		-|**Acronym**|SAMPLE
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)
	3	+|**Acronym**|<Experiment name>
	4	+|**Description**|short description of the experiment (Manifest)
	5	+|**Principal Investigator (PI)**|the name of the PI (Manifest)
	6	+|**Organisation** |Institute, university, company where the experiment was developed (Manifest)
	7	+|**Co-Investigators**|name of co-investigators (Manifest)
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10		-Hamid Didari (Robot Software Specialist)
11		-
12		-Richard Halatschek (Robot Engineer)
13		-)))
14		-
15	15	=== Summary ===
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17	17	(% class="image" style="float:right" %)
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19	19	[[image:ACT_manifest.png||height="266" width="399"]]
20	20	)))
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22		-Rover systems used in planetary exploration, for example Curiosity and Perseverance, have already proven successful in past missions. However, the time delay between the Martian exploration site and the Mission Support Center (MSC) on earth as well as safety issues constitute limiting factors in the autonomy of a rover. Semi-Autonomous Robot Assistance for Planetary Exploration (SAMPLE) addresses this issue.
	16	+The summary is taken from the manifest by copy / paste. The following text is just for demonstrating purpose!
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24		-Based on the MERCATOR experiment in AMADEE-20, SAMPLE aims to extend the aera of use and autonomy of rovers. SAMPLE investigates robot capabilities such as photogrammetry, in-situ instrument placing, and sample collection combined with improved semi-autonomous robot control and the integration into the exploration cascade for supporting geological hypotheses.
	18	+Astronauts are at all times required to provide outstanding performance. They are to remain resilient and to maintain their psychological well-being in order to successfully accomplish their mission in extreme and isolated environments. Future Martian explorers therefore have to be selected and trained to be able to deal with such environments and to be able to maintain an adaptive and resilient mind-set, communicate with others efficiently and pro-actively, process and accept worries and sadness, and to stay persistent with respect to the goals of the mission.
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26		-The expected outcome of the SAMPLE project is to provide data products like 3D maps, images, or special measurements shortly after the exploration task of a robot. Moreover, SAMPLE aims to provide sophisticated visualization and tools for better integration of the scientific capabilities of the rover into the daily exploration routine of the remote science support and the analog astronauts.
	20	+In the course of the experiment, all six analog astronauts will be trained in Acceptance and Commitment Therapy (ACT). In a wide range of studies, ACT has proven to increase people’s psychological flexibility; this is, their ability to pursue their important goals, even when they experience thoughts, feelings, fears, and emotions that may get in the way of their moving towards those goals. The ACT training will focus on providing key, practical skills that the participants can use in carrying out their daily activities, as well as in interacting with their colleagues. This study aims to assesses the ability of ACT to improve participants’ psychological flexibility, stress and well-being, performance and error measures, narrative contents and communication patterns, cognitive and physiological outcomes.
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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.
	22	+The study will use a pre - post-test design. The pre-test will be completed by the participants before the ACT training, a post-test after completing the training. Further, a follow-up measure will be taken from participants at the end of their mission. Additional qualitative data will be collected from the analog astronauts in form of a diary.
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30		-
31	31	=== Experiment Data ===
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33	33	(% style="height:10px; width:1000px" %)