Changes for page Amadee-24-Genes4Mars

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1		-Amadee-24-Hort3Space
	1	+Amadee-24-SAMPLE

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1	1	=== Details ===
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3		-|**Acronym**|Hort3Space
4		-|**Description**|An automated multilevel cultivation prototype, equipped with cultivation specific full spectrum LED lights placed inside a sterile grow room in an inflatable self-erecting tent to evaluate cultivation performances, supporting the diet of the crew
5		-|**Principal Investigator (PI)**|Luca Nardi ~| [[luca.nardi@enea.it>>mailto:luca.nardi@enea.it]]
6		-|**Organisation** |ENEA-Biotechnology Laboratory, Casaccia Research Center
	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	7	|**Co-Investigators**|(((
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	8	+Matthias Eder (Robot Software Specialist)
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	10	+Hamid Didari (Robot Software Specialist)
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	12	+Richard Halatschek (Robot Engineer)
9	9	)))
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11	11	=== Summary ===
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15	15	[[image:ACT_manifest.png||height="266" width="399"]]
16	16	)))
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18		-Future long-term space missions and human habitation on other planets such as Mars require a controlled ecological life-support system. Its purpose is to basically re-create a proper atmosphere, purify water and possibly sow seeds for astronauts to eat. These processes are ensured by photosynthetic algae and higher plants in a so-called “biological life support system” (BLSS).
	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.
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20		-Since the AMADEE-24 mission site mimics the harsh space environment, it is the perfect location to test such systems. Here, productive plant species shall be grown considering factors such as the absence of soil, shortage of water, limited space available.The experiment Hort3Space is therefore focusing on “microgreens” -leafy vegetables harvested as seedlings, highly acceptable by consumers as “Ready-To-Eat” (RTE) food. They are highly nutritious, hence an excellent source of vitamins and antioxidants.
	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.
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22		-The aim of this experiment is to develop and test innovative and autonomous cultivation systems that can grow fresh food with the minimum human intervention. This way, supply transportation for long-term missions can be reduced.
	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.
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24		-To realize this experiment, a sterile grow room in an inflatable self-erecting tent will be used to evaluate cultivation performances in extreme environments, simulating a planetary biological life support system (BLSS). It will be able to support the dietof the crew members of the analogue mission with fresh and highly nutritious, ready-to-eat vegetables. Additionally, the use of automated processes shall reduce analogue astronaut’s time required for cultivation task.
	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.
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