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
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--Amadee-24-RAMSES
++Amadee-24-SAMPLE

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  === Details ===
--|**Acronym**|RAMSES
--|**Description**|Fully autonomous multi-sensor-based helicopter system capable of taking off from a charging dock atop a Mars rover, then conducting aerial reconnaissance for operator-requested POI inspection or autonomous terrain mapping before landing back on the rover to recharge.
--|**Principal Investigator (PI)**|Martin Scheiber ~| [[Martin.Scheiber@aau.at>>mailto:Martin.Scheiber@aau.at]]
--|**Organisation** |Control of Networked Systems Group, Institute of Smart System Technologies, University of Klagenfurt
++|**Acronym**|SAMPLE
++|**Description**|Rover traversability, teleoperations for sample acquisition and transport to Hab using semi-autonomous traverse finding rover.
++|**Principal Investigator (PI)**|Gerald Steinbauer-Wagne ~| [[steinbauer@ist.tugraz.at>>mailto:steinbauer@ist.tugraz.at]]
++|**Organisation** |Research Group for Autonomous Intelligent Systems, Institute of Software Technology, Graz University of Technology
  |**Co-Investigators**|(((
--Marim Faroun | [[mafaroun@edu.aau.at>>mailto:mafaroun@edu.aau.at]]
++Matthias Eder (Robot Software Specialist)
--Tanguy Gerniers | [[t1gerniers@edu.aau.at>>mailto:t1gerniers@edu.aau.at]]
++Hamid Didari (Robot Software Specialist)
++
++Richard Halatschek (Robot Engineer)
  )))
  === Summary ===
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  [[image:ACT_manifest.png||height="266" width="399"]]
  )))
--In 2021, the first Uncrewed Aerial Vehicle (UAV) performed its first flight on Mars. With this flight, Ingenuity developed by NASA, proved that VTOL aircraft can operate under Martian conditions. However, furtherresearch and development is necessary to take out full advantage of flying vehicles during a Mars mission.
++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.
--The Rover Aerial Mars Support and Exploration System (RAM-SES) is a technology system for future UAVs using an AI-based network to autonomously detect landing sites in Mars-like environments. With participation in AMADEE-24, RAMSES’s novel approach demonstrates the process of detecting visual points of interest, either scientifically or for safe UAV navigation.
++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.
--The expected outcome is to utilize an AI-based network togenerate a heat map for successfully detecting landing sites inthe mission area. Additionally, the system contains gener-ated pixel-wise maps and provides comprehensive and detaileddepictions of scientific points of interest in Mars-like environments. RAMSES evaluates data gathered by other robotic vehicles to create the aforementioned heat map and points of interest. In turn, this data can enhance the mission capabilities ofother teams to further demonstrate collaboration between experiments.
++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.
--To achieve the defined experiment objectives within AMADEE-24,RAMSES focuses on evaluating data gathered by the SAMPLE experiment. With the help of the ground truth of the mission area data,we are able to compare the system’s pixel-wise map coordinates andimprove the precision of the location of notable features for scientific research in order to contribute to the advancement of scientificknowledge about the environment. In the context of collaborative experimentation, RAMSES shall be subjected to proof-of-concept teststhat aim to exhibit its capabilities in supporting AMADEE-24 andfuture missions.
++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.