A case study of search-based path planning for a semi-autonomous mobile robot using visibility algorithms

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dc.contributor.authorMarinheiro R.M.
dc.contributor.authorBianchini C.P.
dc.date.accessioned2024-03-12T23:47:41Z
dc.date.available2024-03-12T23:47:41Z
dc.date.issued2020
dc.description.abstract© 2020 IEEE.Machines' capability to reproduce human abilities is the new source of technological advances. One of the most discussed approaches is the autonomous vehicles, machines that can move from place to place without human intervention in a safer way, since they can predict accidents. This research's goal is to bring forward algorithms to a semiautonomous mobile robot that has the purpose of searching an object in a known environment. To this end, algorithms that fit the case were selected and implemented. Such elected algorithms proved being able to construct the robot's intelligence efficiently.
dc.identifier.doi10.1109/ICECCE49384.2020.9179346
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/34963
dc.relation.ispartof2nd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2020
dc.rightsAcesso Restrito
dc.subject.otherlanguagemapping
dc.subject.otherlanguagemobile robot
dc.subject.otherlanguagepath-planning
dc.subject.otherlanguagesearch algorithms
dc.subject.otherlanguagesemi-autonomous vehicles
dc.subject.otherlanguagevisibility
dc.titleA case study of search-based path planning for a semi-autonomous mobile robot using visibility algorithms
dc.typeArtigo de evento
local.scopus.citations0
local.scopus.eid2-s2.0-85091942118
local.scopus.subjectAutonomous Mobile Robot
local.scopus.subjectForward algorithms
local.scopus.subjectHuman abilities
local.scopus.subjectHuman intervention
local.scopus.subjectKnown environments
local.scopus.subjectNew sources
local.scopus.subjectSearch-based
local.scopus.subjectTechnological advances
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85091942118&origin=inward
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