Changes for page Amadee-24-SAMPLE

Summary

• Page properties (1 modified, 0 added, 0 removed)

Details

Page properties

Content

...	...	@@ -2,10 +2,16 @@
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
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]]
	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)
8	8
	10	+Hamid Didari (Robot Software Specialist)
	11	+
	12	+Richard Halatschek (Robot Engineer)
	13	+)))
	14	+
9	9	=== Summary ===
10	10
11	11	(% class="image" style="float:right" %)
...	...	@@ -13,13 +13,16 @@
13	13	[[image:ACT_manifest.png||height="266" width="399"]]
14	14	)))
15	15
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.
	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.
17	17
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.
	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.
19	19
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.
	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.
21	21
	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	22
	30	+
	31	+
23	23	=== Experiment Data ===
24	24
25	25	(% style="height:10px; width:1000px" %)