Numerical optimization for things that move : simulation, planning, and control
Abstract/Contents
- Abstract
- This dissertation takes an optimization-first approach to the development of tools for simulation, planning, and control for robotic systems.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2022; ©2022 |
| Publication date | 2022; 2022 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Howell, Taylor |
|---|---|
| Degree supervisor | Okamura, Allison |
| Thesis advisor | Okamura, Allison |
| Thesis advisor | Manchester, Zachary |
| Thesis advisor | Schwager, Mac |
| Degree committee member | Manchester, Zachary |
| Degree committee member | Schwager, Mac |
| Associated with | Stanford University, Department of Mechanical Engineering |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Taylor Athaniel Howell. |
|---|---|
| Note | Submitted to the Department of Mechanical Engineering. |
| Thesis | Thesis Ph.D. Stanford University 2022. |
| Location | https://purl.stanford.edu/yq295wp9383 |
Access conditions
- Copyright
- © 2022 by Taylor Howell
- License
- This work is licensed under a Creative Commons Attribution 3.0 Unported license (CC BY).
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