Please use this identifier to cite or link to this item: https://idr.nitk.ac.in/jspui/handle/123456789/6731
Full metadata record
DC FieldValueLanguage
dc.contributor.authorAcharya, R.
dc.contributor.authorJena, D.
dc.date.accessioned2020-03-30T09:46:03Z-
dc.date.available2020-03-30T09:46:03Z-
dc.date.issued2018
dc.identifier.citation2018 IEEMA Engineer Infinite Conference, eTechNxT 2018, 2018, Vol., , pp.1-6en_US
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/6731-
dc.description.abstractThe objective of this work is to apply sampling based algorithm to generate a path to Ackermann steering system with given constraints based on its Kinematics model. Rapidly-exploring Random Tree (RRT) is used with uniform sampling for path exploration. The configuration space is transformed and will be used for path formulation. This paper presents Gaussian sampling based strategy, path formulation meeting system kinematics, and trajectories creation over the sample points. � 2018 IEEE.en_US
dc.titleSampling based motion planning of Ackermann steering system using transformationen_US
dc.typeBook chapteren_US
Appears in Collections:2. Conference Papers

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.