Versatile Inference Algorithms using the Bayes Tree for Robot Navigation
Robotic satellite operations are an integral component of future space missions, such as on-orbit servicing, in-space robotic assembly, and orbital debris mitigation. A key requirement shared among such space missions is the capability to carry out robust and autonomous close proximity operations be...
Main Author: | Terán Espinoza, Antonio |
---|---|
Other Authors: | Miller, David W. |
Format: | Thesis |
Published: |
Massachusetts Institute of Technology
2023
|
Online Access: | https://hdl.handle.net/1721.1/148286 |
Similar Items
-
Characterizing Marginalization and Incremental Operations on the Bayes Tree
by: Fourie, Dehann, et al.
Published: (2024) -
Probabilistic and learning approaches through concurrent parameter estimation and adaptive control for in-space robotic assembly
by: Terán Espinoza, Antonio
Published: (2017) -
On-Orbit Inspection of an Unknown, Tumbling Target using NASA’s Astrobee Robotic Free-Flyers
by: Oestreich, Charles, et al.
Published: (2022) -
Algorithms for safe robot navigation
by: Axelrod, Brian Maxim
Published: (2018) -
Non-Gaussian Factor Graph Inference for Robotic Navigation
by: Pu, Can
Published: (2022)