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International Journal of Applied Mathematics and Computer Science
Volume 28 (2018): Issue 1 (March 2018)
Open Access
Iterative methods for efficient sampling-based optimal motion planning of nonlinear systems
Jung-Su Ha
Jung-Su Ha
,
Han-Lim Choi
Han-Lim Choi
and
Jeong Hwan Jeon
Jeong Hwan Jeon
| Mar 31, 2018
International Journal of Applied Mathematics and Computer Science
Volume 28 (2018): Issue 1 (March 2018)
Issues in Parameter Identification and Control (special section, pp. 9-122), Abdel Aitouche (Ed.)
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Published Online:
Mar 31, 2018
Page range:
155 - 168
Received:
Jan 09, 2017
Accepted:
Sep 01, 2017
DOI:
https://doi.org/10.2478/amcs-2018-0012
Keywords
optimal motion planning
,
sampling-based algorithm
,
nonlinear dynamics
© by Han-Lim Choi
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
Jung-Su Ha
Mechanical Engineering Research Institute, Korea Advanced Institute of Science and Technology 291 Daehak-ro, Yuseong,
Deajeon, Republic of Korea
Han-Lim Choi
Department of Aerospace Engineering, Korea Advanced Institute of Science and Technology 291 Daehak-ro, Yuseong,
Deajeon, Republic of Korea
Jeong Hwan Jeon
nuTonomy Inc. 1 Broadway,
Cambridge, USA