Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Matthew A. Vavrina"'
Autor:
Lucy F. Lim, Jacob A. Englander, Alyssa Rhoden, Matthew A. Vavrina, Keith S. Noll, Lucy A. McFadden
Publikováno v:
Computing in Science & Engineering. 19:18-28
Trajectory design for missions to small bodies is tightly coupled both with the selection of targets for a mission and with the choice of spacecraft power, propulsion, and other hardware. Traditional methods of trajectory optimization have focused on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d447fe1a79f8268e9c6d2733447526f
https://doi.org/10.1109/mcse.2017.3151246
https://doi.org/10.1109/mcse.2017.3151246
Publikováno v:
IEEE/ASME Transactions on Mechatronics. 20:275-286
This paper presents the development and hardware implementation of an autonomous battery maintenance mechatronic system that significantly extends the operational time of battery powered small-scaled unmanned aerial vehicles (UAVs). A simultaneous ch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1c4a0eeea4edffccd540f9719b258c5
https://doi.org/10.1109/tmech.2013.2294805
https://doi.org/10.1109/tmech.2013.2294805
Autor:
Theresa Kowalkowski, Paul A. Finlayson, Matthew A. Vavrina, Jon A. Sims, Anastassios E. Petropoulos, Gregory J. Whiffen, Daniel W. Parcher
Publikováno v:
Acta Astronautica. 61:806-815
Results obtained at the Jet Propulsion Laboratory for the 1st ACT global trajectory optimisation competition are presented and the methods used to obtain them are described. The search for the globally optimal, low-thrust, gravity-assist trajectory f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef495daaa4a7703cf8f98fdb057b3975
https://doi.org/10.1016/j.actaastro.2007.03.013
https://doi.org/10.1016/j.actaastro.2007.03.013
Publikováno v:
AIAA/AAS Astrodynamics Specialist Conference.
The Asteroid Robotic Redirect Mission (ARRM) has been the topic of many mission design studies since 2011. The reference ARRM spacecraft uses a powerful solar electric propulsion (SEP) system and a bag device to capture a small asteroid from an Earth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af3978e535fa7d0401b81679dc507b33
https://doi.org/10.2514/6.2014-4354
https://doi.org/10.2514/6.2014-4354
Publikováno v:
AIAA/AAS Astrodynamics Specialist Conference.
The Goddard Space Flight Center (GSFC) Flight Dynamics Facility (FDF) will provide orbit determination and prediction support for the Magnetospheric Multiscale (MMS) mission during the missions commissioning period. The spacecraft will launch into a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::140649e5ba32f7ed0452a3040c9579ee
https://doi.org/10.2514/6.2014-4430
https://doi.org/10.2514/6.2014-4430
Publikováno v:
AIAA/AAS Astrodynamics Specialist Conference.
This paper presents mission performance analysis methods and results for the Asteroid Robotic Redirect Mission (ARRM) option to capture a free standing boulder on the surface of a 100 m or larger NEA. It details the optimization and design of helioce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbb351c0edc81101879d50e2ea35b6ce
https://doi.org/10.2514/6.2014-4457
https://doi.org/10.2514/6.2014-4457
Publikováno v:
ECC
In large-scale persistent missions, the vehicle capabilities and health often degrade over time. This paper presents a Health Aware Planning (HAP) Framework for long-duration complex UAV missions by establishing close feedback between the high-level
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6ceba03acd509d7db22aadf7df1ba83
https://doi.org/10.23919/ecc.2013.6669789
https://doi.org/10.23919/ecc.2013.6669789
Autor:
Matthew A. Vavrina, Joshua Redding, Jonathan P. How, Tuna Toksoz, John Vian, Girish Chowdhary, N. Kemal Ure
Publikováno v:
AIAA Guidance, Navigation, and Control Conference.
planning problems in presence of state-correlated uncertainty.An online learning and planning framework is used to address the problem of improving planner performance for missions with state-dependent uncertain agent health dynamics. The framework i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2886128feb0fa9f64083fc60994e992
https://doi.org/10.2514/6.2012-4622
https://doi.org/10.2514/6.2012-4622
Publikováno v:
ACC
This paper introduces an approximation algorithm for stochastic multi-agent planning based on Markov decision processes (MDPs). Specifically, we focus on a decentralized approach for planning the actions of a team of cooperating agents with uncertain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::888571359686af7c99642946e7f4ea03
https://doi.org/10.1109/acc.2012.6315482
https://doi.org/10.1109/acc.2012.6315482
Autor:
Alborz Geramifard, Matthew A. Vavrina, N. Kemal Ure, Jonathan P. How, John Vian, Tuna Toksoz, Joshua Redding
Publikováno v:
AIAA Guidance, Navigation, and Control Conference.
This paper introduces and demonstrates a full hardware testbed for research in long-duration missions for multiple, autonomous agents. Speci cally, we describe an automated battery management platform designed to service multiple quadrotor agents in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56293f4dd01d9cea43a14bd837b5d8d2
https://doi.org/10.2514/6.2011-6480
https://doi.org/10.2514/6.2011-6480