Sampling based motion planning of Ackermann steering system using transformation

Simple item page
dc.contributor.authorAcharya, R.
dc.contributor.authorJena, D.
dc.date.accessioned2026-02-06T06:38:08Z
dc.date.issued2018
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.
dc.identifier.citation2018 IEEMA Engineer Infinite Conference, eTechNxT 2018, 2018, Vol., , p. 1-6
dc.identifier.urihttps://doi.org/10.1109/ETECHNXT.2018.8385303
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/31474
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.subjectLazy RRT
dc.subjectPRM
dc.subjectRRT
dc.subjectRRT-Connect
dc.subjectRRT∗
dc.titleSampling based motion planning of Ackermann steering system using transformation

Files

Collections

Conference Papers