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dc.contributor.authorGeetha Jayaprakash A.
dc.contributor.authorBairampalli S.
dc.contributor.authorDesai V.
dc.contributor.authorBhat R.
dc.identifier.citationLecture Notes in Networks and Systems, 2018, Vol.16, pp.584-598en_US
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.en_US
dc.titleDevelopment of Guided Autonomous Navigation for Indoor Material Handling Applicationsen_US
dc.typeBook Chapteren_US
Appears in Collections:3. Book Chapters

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