Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Bryce Doerr"'
Autor:
K. Marshall Seaton, Szilárd Gyalay, Gaia Stucky de Quay, Ethan R. Burnett, C. Adeene Denton, Bryce Doerr, Kamak Ebadi, Stephanie Eckert, Ian. T. W. Flynn, Casey I. Honniball, Shayna Hume, Corbin L. Kling, Julian C. Marohnic, Julia Milton, Claire A. Mondro, Raquel G. Nuno, Caoimhe M. Rooney, Beck E. Strauss, Alfred Nash, Jennifer E. C. Scully
Publikováno v:
The Planetary Science Journal, Vol 4, Iss 6, p 116 (2023)
The Saturnian moon Enceladus presents a unique opportunity to sample the contents of a subsurface liquid water ocean in situ via the continuous plume formed over its south polar terrain using a multi-flyby mission architecture. Previous analyses of t
Externí odkaz:
https://doaj.org/article/b2292a897a5240fa9a61af0a95ebbd0e
Publikováno v:
Sensors, Vol 19, Iss 7, p 1524 (2019)
This paper develops a decentralized approach to gas distribution mapping (GDM) and information-driven path planning for large-scale distributed sensing systems. Gas mapping is performed using a probabilistic representation known as a Hilbert map, whi
Externí odkaz:
https://doaj.org/article/c8ece7b8571949cc80beec239a264369
Publikováno v:
arXiv
Controlling large swarms of robotic agents presents many challenges including, but not limited to, computational complexity due to a large number of agents, uncertainty in the functionality of each agent in the swarm, and uncertainty in the swarm's c
Autor:
Richard Linares, Bryce Doerr
Publikováno v:
arXiv
Controlling large swarms of robotic agents presents many challenges including, but not limited to, computational complexity due to a large number of agents, uncertainty in the functionality of each agent in the swarm, and uncertainty in the swarm's c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e83b88838f4e74ca7db7302e81f09b53
Publikováno v:
Sensors, Vol 19, Iss 7, p 1524 (2019)
Sensors (Basel, Switzerland)
Sensors
Volume 19
Issue 7
Sensors (Basel, Switzerland)
Sensors
Volume 19
Issue 7
This paper develops a decentralized approach to gas distribution mapping (GDM) and information-driven path planning for large-scale distributed sensing systems. Gas mapping is performed using a probabilistic representation known as a Hilbert map, whi
Publikováno v:
MIT web domain
Inverse Reinforcement Learning (RL) can be used to determine the behavior of Space Objects (SOs) by estimating the reward function that an SO is using for control. The approach discussed in this work can be used to analyze maneuvering of SOs from obs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e61b0a4feff9cfb5a7f6fceaaf6ddb2f
Autor:
Richard Linares, Bryce Doerr
Publikováno v:
ACC
Controlling large swarms of robotic agents has many challenges including, but not limited to, computational complexity due to the number of agents, uncertainty in the functionality of each agent in the swarm, and uncertainty in the swarm's configurat