Probabilistic and learning approaches through concurrent parameter estimation and adaptive control for in-space robotic assembly

Probabilistic and learning approaches through concurrent parameter estimation and adaptive control for in-space robotic assembly

Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2017.

Библиографические подробности
Главный автор:	Terán Espinoza, Antonio
Другие авторы:	Alvar Saenz-Otero.
Формат:	Диссертация
Язык:	eng
Опубликовано:	Massachusetts Institute of Technology 2017
Предметы:	Aeronautics and Astronautics.
Online-ссылка:	http://hdl.handle.net/1721.1/112480

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