Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Matthew Deans"'
Autor:
Austin Probe, Amalaye Oyake, S W. Chambers, Matthew Deans, Guillaume Brat, Nick B. Cramer, Brian Roberts, Kimberly Hambuchen
Publikováno v:
AIAA SCITECH 2023 Forum.
Autor:
Shreyansh Daftry, Zhanlin Chen, Yang Cheng, Scott Tepsuporn, Shehryar Khattak, Larry Matthies, Brian Coltin, Ussama Naal, Lanssie Mingyue Ma, Matthew Deans
The Artemis program requires robotic and crewed lunar rovers for resource prospecting and exploitation, construction and maintenance of facilities, and human exploration. These rovers must support navigation for 10s of kilometers (km) from base camps
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8d3916c28cf53b1ad7032e4c20911a5
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 50:1537-1548
Wild-land fire fighting is a hazardous job. A key task for firefighters is to observe the "fire front" to chart the progress of the fire and areas that will likely spread next. Lack of information of the fire front causes many accidents. Using Unmann
Autor:
Tamar Cohen, Jimin Zheng, Ivonne Deliz, Matthew Deans, Matthew J. Miller, Steven Hillenius, Jessica J. Marquez, Yeon Jin Lee, Johannes Norheim, David Lees, Bob Kanefsky
Publikováno v:
Astrobiology
Future human missions to Mars are expected to emphasize scientific exploration. While recent Mars rover missions have addressed a wide range of science objectives, human extravehicular activities (EVAs), including the Apollo missions, have had limite
Autor:
Matthew Deans, Hans Utz, Terrence Fong, Mark Allan, Jairus Hihn, Sherry Stukes, Georgia Bajjalieh
Publikováno v:
2021 IEEE Aerospace Conference (50100).
NASA's “Volatiles Investigating Polar Exploration Rover” (VIPER) will be the first robotic mission to prospect for water ice near the south pole of the Moon in late 2023 on a 100-Earth-day mission. The information that the VIPER rover provides wi
Publikováno v:
2020 IEEE Aerospace Conference.
NASA Ames' Exploration Ground Data Systems (xGDS) supports rapid scientific decision making by synchronizing information in time and space, including video and still images, scientific instrument data, and science and operations notes in geographic a
Publikováno v:
American Journal of Gastroenterology. 116:S1379-S1379
Publikováno v:
ICDL-EPIROB
Reinforcement Learning (RL) algorithms face difficulties when dealing with robotic tasks in sparse reward settings and as a result, they often require millions of interactions with the environment to learn successfully. A recent algorithm Hindsight E
Autor:
Howard Cannon, Uland Wong, Terry Fong, Mark Shirley, Matthew Deans, P. Michael Furlong, Brian P. Gerkey, Arno Rogg, Terry Welsh, Scott McMichael, Moraan Quigley, Ian Chen, Mark Allan, Steven C. Peters
Publikováno v:
2019 IEEE Aerospace Conference.
When planning planetary rover missions it is useful to develop intuition and skills driving in, quite literally, alien environments before incurring the cost of reaching said locales. Simulators make it possible to operate in environments that have t
Autor:
David Lees, Andrew McGovern, Anthony Colaprete, Jennifer L. Heldmann, Matthew Deans, Richard C. Elphic, Ben Bussey, Ross A. Beyer
Publikováno v:
Acta Astronautica. 127:308-320
Studies of lunar polar volatile deposits are of interest for scientific purposes to understand the nature and evolution of the volatiles, and also for exploration reasons as a possible in situ resource to enable long term human exploration and settle