| dc.contributor.author | Gilkey, Andrea L. | |
| dc.contributor.author | Galvan, Raquel Christine | |
| dc.contributor.author | Johnson, Aaron William | |
| dc.contributor.author | Kobrick, Ryan L. | |
| dc.contributor.author | Hoffman, Jeffrey A. | |
| dc.contributor.author | Melo, Paulo L. | |
| dc.contributor.author | Newman, Dava | |
| dc.date.accessioned | 2013-10-16T19:57:02Z | |
| dc.date.available | 2013-10-16T19:57:02Z | |
| dc.date.issued | 2011-07 | |
| dc.identifier.isbn | 978-1-60086-948-8 | |
| dc.identifier.other | AIAA 2011-5181 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/81410 | |
| dc.description.abstract | SEXTANT is an extravehicular activity (EVA) mission planner tool developed in MATLAB, which computes the most efficient path between waypoints across a planetary surface. The traverse efficiency can be optimized around path distance, time, or explorer energy consumption. The user can select waypoints and the time spent at each, and can visualize a 3D map of the optimal path. Once the optimal path is generated, the thermal load on suited astronauts or solar power generation of rovers is displayed, along with the total traverse time and distance traveled. A field study was conducted at the Mars Desert Research Station (MDRS) in Utah to see if there was a statistical difference between the SEXTANT-determined energy consumption, time, or distance of EVA traverses and the actual output values. Actual traverse time was significantly longer than SEXTANT-predicted EVA traverse time (n=6, p<0.01), traverse distance was not significantly different than SEXTANT-predicted distance, and explorer energy consumption was significantly greater than SEXTANT-predicted energy consumption (n=5, p<0.01). A second study was done to see if mission re-planning, or contingency planning, was faster and less work when using SEXTANT in the habitat or in the field using an iPad. Time and workload measurements were collected for each subject under both conditions. Contingency planning in the habitat was not significantly different than contingency planning in the field. There was no significant workload difference when contingency planning in either location, however there was a trend that suggested contingency planning was faster in the habitat (n=3, p=0.07). Every subject commented that it was a hassle to carry the mission planner in the field and it was difficult to see the screen in the sunlight. To determine if gloves were a factor in the difference between mission re-planning time, subjects were asked to plan a contingency indoors with and without gloves. Performance and workload were not significantly different when re-planning with and without the gloves. The SEXTANT mission planner will continue to be improved according to the results and the recommendations of subjects in this study. | en_US |
| dc.description.sponsorship | United States. National Aeronautics and Space Administration (NASA Astrobiology Institute) | en_US |
| dc.description.sponsorship | Massachusetts Space Grant Consortium | en_US |
| dc.language.iso | en_US | |
| dc.publisher | American Institute of Aeronautics and Astronautics | en_US |
| dc.relation.isversionof | http://arc.aiaa.org/doi/pdf/10.2514/6.2011-5181 | en_US |
| dc.rights | Creative Commons Attribution-Noncommercial-Share Alike 3.0 | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/ | en_US |
| dc.source | MIT web domain | en_US |
| dc.title | Evaluation of a Surface Exploration Traverse Analysis and Navigation Tool | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Gilkey, Andrea, Ryan Kobrick, Raquel Galvan, Aaron Johnson, Jeffrey Hoffman, Dava Newman, and Paulo Melo. “Evaluation of a Surface Exploration Traverse Analysis and Navigation Tool.” In 41st International Conference on Environmental Systems, Portland, Oregon. American Institute of Aeronautics and Astronautics, 2011. | en_US |
| dc.contributor.department | MIT-Portugal Program | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics | en_US |
| dc.contributor.mitauthor | Kobrick, Ryan L. | en_US |
| dc.contributor.mitauthor | Johnson, Aaron William | en_US |
| dc.contributor.mitauthor | Gilkey, Andrea L. | en_US |
| dc.contributor.mitauthor | Hoffman, Jeffrey A. | en_US |
| dc.contributor.mitauthor | Galvan, Raquel Christine | en_US |
| dc.contributor.mitauthor | Melo, Paulo L. | en_US |
| dc.contributor.mitauthor | Newman, Dava | en_US |
| dc.relation.journal | Proceedings of the 41st International Conference on Environmental Systems | en_US |
| dc.eprint.version | Author's final manuscript | en_US |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
| eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
| dspace.orderedauthors | Gilkey, Andrea; Kobrick, Ryan; Galvan, Raquel; Johnson, Aaron; Hoffman, Jeffrey; Newman, Dava; Melo, Paulo | en_US |
| dc.identifier.orcid | https://orcid.org/0000-0001-9645-6288 | |
| dc.identifier.orcid | https://orcid.org/0000-0001-6190-348X | |
| dc.identifier.orcid | https://orcid.org/0000-0002-7543-6920 | |
| mit.license | OPEN_ACCESS_POLICY | en_US |
| mit.metadata.status | Complete | |