Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Jekanthan Thangavelautham"'
Autor:
Ravi teja Nallapu, Graham Dektor, Nalik Kenia, James Uglietta, Shota Ichikawa, Mercedes Herreras-Martinez, Akshay Choudhari, Aman Chandra, Stephen Schwartz, Erik Asphaug, Jekanthan Thangavelautham
Publikováno v:
Aerospace, Vol 7, Iss 12, p 179 (2020)
The Martian satellites Phobos and Deimos hold many unanswered questions that may provide clues to the origin of Mars. These moons are low Δv stopover sites to Mars. Some human missions to Mars typically identify Phobos and Deimos as staging bases fo
Externí odkaz:
https://doaj.org/article/d11e6209d1bc44d791c32ba952365012
Publikováno v:
2020 IEEE Aerospace Conference.
NASA has expressed a demand for new explorative robotic technology as the search for previously habitable environments progresses. Exploration, utilizing one or few rovers may restrict the scouting range causing a lack of discovery of hidden environm
Autor:
Graham Dektor, Jekanthan Thangavelautham, Erik Asphaug, Shota Ichikawa, Stephen R. Schwartz, Akshay Choudhari, Aman Chandra, James Uglietta, Ravi Teja Nallapu, Mercedes Herreras-Martinez, Nalik Kenia
Publikováno v:
Aerospace
Volume 7
Issue 12
Aerospace, Vol 7, Iss 179, p 179 (2020)
Volume 7
Issue 12
Aerospace, Vol 7, Iss 179, p 179 (2020)
The Martian satellites Phobos and Deimos hold many unanswered questions that may provide clues to the origin of Mars. These moons are low &Delta
v stopover sites to Mars. Some human missions to Mars typically identify Phobos and Deimos as stagin
v stopover sites to Mars. Some human missions to Mars typically identify Phobos and Deimos as stagin
Autor:
Nader Abu El Samid, Kenneth Law, Jekanthan Thangavelautham, Gabriele M. T. D'Eleuterio, Terence Fu, Alexander D. S. Smith
In this paper, a control approach called Artificial Neural Tissue (ANT) is applied to multirobot excavation for lunar base preparation tasks including clearing landing pads and burying of habitat modules. We show for the first time, a team of autonom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15a5a49312af45452177de3c769a5273
Publikováno v:
ICRA
This paper reports on a study to develop power supplies for small mobile robots performing long duration missions. It investigates the use of fuel cells to achieve this objective, and in particular Proton Exchange Membrane (PEM) fuel cells. It is sho
Publikováno v:
Computational Intelligence in Optimization ISBN: 9783642127748
Robots, in their most general embodiment, can be complex systems trying to negotiate and manipulate an unstructured environment. They ideally require an ‘intelligence’ that reflects our own. Artificial evolutionary algorithms are often used to ge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78409fb4720f2c7f4e265bed6259271c
https://doi.org/10.1007/978-3-642-12775-5_16
https://doi.org/10.1007/978-3-642-12775-5_16
Autor:
Terence Fu, Nagina Nagrani, Nader Abu El Samid, Jekanthan Thangavelautham, Paul Grouchy, Ernest J. P. Earon, Gabriele M. T. D'Eleuterio
Publikováno v:
CIRA
Autonomous robotic excavation has often been limited to a single robotic platform using a specified excavation vehicle. This paper presents a novel method for developing scalable controllers for use in multirobot scenarios and that do not require hum
Publikováno v:
GECCO
A new speciation method for parallel evolutionary computation is presented, designed specifically to handle high-dimensional data. Taking inspiration from the natural sciences, the Phylogenetic Relations Island Speciation Model (PRISM) uses common an
Publikováno v:
Frontiers in Evolutionary Robotics
The use of a global fitness function shows the possibility of training multirobot controllers with limited supervision to perform self-organized task decomposition. A global fitness function encourages solutions that improve system performance withou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cddc3bdc9a99352f48f88694e6c9cf2f
https://doi.org/10.5772/5447
https://doi.org/10.5772/5447