Development of Guided Autonomous Navigation for Indoor Material Handling Applications

dc.contributor.authorGeetha Jayaprakash, A.
dc.contributor.authorBairampalli, S.
dc.contributor.authorDesai, V.
dc.contributor.authorBhat, R.
dc.date.accessioned2026-02-08T16:50:40Z
dc.date.issued2018
dc.description.abstractIn recent past emphasis on material handling requirements in industry has gone up considerably and in particular several researchers have attempted to improve the indoor material handling. In this paper an autonomous navigation system is implemented on a trolley for applications intending to move the trolley along a predefined path without human operator assistance. The trolley operates in two modes: Learning mode and Autonomous mode. In the learning mode the operator has to manually move the trolley along a path, it has to follow autonomously when the autonomous mode is activated. © Springer International Publishing AG 2018.
dc.identifier.citationLecture Notes in Networks and Systems, 2018, Vol.16, , p. 584-598
dc.identifier.isbn9789819652372
dc.identifier.isbn9783031931055
dc.identifier.isbn9789819662968
dc.identifier.isbn9783031999963
dc.identifier.isbn9783031950162
dc.identifier.isbn9783031947698
dc.identifier.isbn9783032004406
dc.identifier.isbn9783031910074
dc.identifier.isbn9783032083807
dc.identifier.isbn9783032077172
dc.identifier.issn23673370
dc.identifier.urihttps://doi.org/10.5194/isprs-annals-X-G-2025-503-2025
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/33940
dc.publisherSpringer
dc.subjectAutonomous navigation
dc.subjectGyroscope
dc.subjectHeading angle
dc.subjectKalman filter
dc.subjectUltrasonic sensor
dc.subjectWheel encoder
dc.titleDevelopment of Guided Autonomous Navigation for Indoor Material Handling Applications

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