Iterative methods for efficient sampling-based optimal motion planning of nonlinear systems Cover

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Iterative methods for efficient sampling-based optimal motion planning of nonlinear systems

International Journal of Applied Mathematics and Computer Science

Volume 28 (2018): Issue 1 (March 2018)

By: Jung-Su Ha, Han-Lim Choi and Jeong Hwan Jeon

Open Access

|Mar 2018

Authors

Jung-Su Ha

wjdtn1404@kaist.ac.kr

Mechanical Engineering Research Institute, Korea Advanced Institute of Science and Technology 291 Daehak-ro, Yuseong,, Deajeon, Republic of Korea

Han-Lim Choi

hanilmc@kaist.ac.kr

Department of Aerospace Engineering, Korea Advanced Institute of Science and Technology 291 Daehak-ro, Yuseong,, Deajeon, Republic of Korea

Jeong Hwan Jeon

jhjeon@alum.mit.edu

nuTonomy Inc. 1 Broadway,, Cambridge, USA

DOI: https://doi.org/10.2478/amcs-2018-0012 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X

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Language: English

Page range: 155 - 168

Submitted on: Jan 9, 2017

Accepted on: Sep 1, 2017

Published on: Mar 31, 2018

Published by: University of Zielona Góra

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

optimal motion planning,

sampling-based algorithm,

nonlinear dynamics

Related subjects:

Applied mathematics

© 2018 Jung-Su Ha, Han-Lim Choi, Jeong Hwan Jeon, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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