Control based motion primitives for quadrotor trajectory generation

10.23919/ChiCC.2019.8865876

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Bibliographic Details
Main Authors:	Lai, Shupeng, Lan, Menglu, Chen, Ben M
Other Authors:	ELECTRICAL AND COMPUTER ENGINEERING
Format:	Conference or Workshop Item
Published:	IEEE 2022
Subjects:	Science & Technology Technology Physical Sciences Automation & Control Systems Computer Science, Artificial Intelligence Engineering, Electrical & Electronic Operations Research & Management Science Mathematics, Applied Computer Science Engineering Mathematics Motion planning Trajectory generation Motion primitives Unmanned aerial systems
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/215317
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-215317
record_format	dspace
spelling	sg-nus-scholar.10635-2153172024-04-16T11:52:37Z Control based motion primitives for quadrotor trajectory generation Lai, Shupeng Lan, Menglu Chen, Ben M ELECTRICAL AND COMPUTER ENGINEERING Science & Technology Technology Physical Sciences Automation & Control Systems Computer Science, Artificial Intelligence Engineering, Electrical & Electronic Operations Research & Management Science Mathematics, Applied Computer Science Engineering Mathematics Motion planning Trajectory generation Motion primitives Unmanned aerial systems 10.23919/ChiCC.2019.8865876 38th Chinese Control Conference (CCC) 2019-July 8323-8329 2022-02-14T08:19:07Z 2022-02-14T08:19:07Z 2019-01-01 2022-02-13T05:21:14Z Conference Paper Lai, Shupeng, Lan, Menglu, Chen, Ben M (2019-01-01). Control based motion primitives for quadrotor trajectory generation. 38th Chinese Control Conference (CCC) 2019-July : 8323-8329. ScholarBank@NUS Repository. https://doi.org/10.23919/ChiCC.2019.8865876 9789881563972 21612927 https://scholarbank.nus.edu.sg/handle/10635/215317 IEEE Elements
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Science & Technology Technology Physical Sciences Automation & Control Systems Computer Science, Artificial Intelligence Engineering, Electrical & Electronic Operations Research & Management Science Mathematics, Applied Computer Science Engineering Mathematics Motion planning Trajectory generation Motion primitives Unmanned aerial systems
spellingShingle	Science & Technology Technology Physical Sciences Automation & Control Systems Computer Science, Artificial Intelligence Engineering, Electrical & Electronic Operations Research & Management Science Mathematics, Applied Computer Science Engineering Mathematics Motion planning Trajectory generation Motion primitives Unmanned aerial systems Lai, Shupeng Lan, Menglu Chen, Ben M Control based motion primitives for quadrotor trajectory generation
description	10.23919/ChiCC.2019.8865876
author2	ELECTRICAL AND COMPUTER ENGINEERING
author_facet	ELECTRICAL AND COMPUTER ENGINEERING Lai, Shupeng Lan, Menglu Chen, Ben M
format	Conference or Workshop Item
author	Lai, Shupeng Lan, Menglu Chen, Ben M
author_sort	Lai, Shupeng
title	Control based motion primitives for quadrotor trajectory generation
title_short	Control based motion primitives for quadrotor trajectory generation
title_full	Control based motion primitives for quadrotor trajectory generation
title_fullStr	Control based motion primitives for quadrotor trajectory generation
title_full_unstemmed	Control based motion primitives for quadrotor trajectory generation
title_sort	control based motion primitives for quadrotor trajectory generation
publisher	IEEE
publishDate	2022
url	https://scholarbank.nus.edu.sg/handle/10635/215317
_version_	1800915327284936704

Control based motion primitives for quadrotor trajectory generation

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