Abstract
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.
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CITATION STYLE
Fernandez Carmona, M., Parekh, T., & Hanheide, M. (2019). Making the case for human-aware navigation in warehouses. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11650 LNAI, pp. 449–453). Springer Verlag. https://doi.org/10.1007/978-3-030-25332-5_38
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