Making the Case for Human-Aware Navigation in Warehouses

This work addresses the performance of several local planners for navigation of autonomous pallet trucks in the presence of humans in a simulated warehouse as well as a complementary approach developed within the ILIAD project. Our focus is to stress the open problem of a safe manoeuvrability of pal...

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Bibliographic Details
Published inTowards Autonomous Robotic Systems pp. 449 - 453
Main Authors Fernandez Carmona, Manuel, Parekh, Tejas, Hanheide, Marc
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing 2019
SeriesLecture Notes in Computer Science
Subjects
Human-aware navigation
Logistics
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ISBN3030253317
9783030253318
ISSN0302-9743
1611-3349
DOI10.1007/978-3-030-25332-5_38

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Summary:This work addresses the performance of several local planners for navigation of autonomous pallet trucks in the presence of humans in a simulated warehouse as well as a complementary approach developed within the ILIAD project. Our focus is to stress the open problem of a safe manoeuvrability of pallet trucks in the presence of moving humans. We propose a variation of ROS navigation stack that includes in the planning process a model of the human robot interaction.
Bibliography:This work was supported in part by EPSRC under grant EP/R02572X/1 (NCNR) and in part by EU H2020 project No. 732737 (ILIAD).
ISBN:3030253317
9783030253318
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-030-25332-5_38