Human Intention Recognition for Human Aware Planning in Integrated Warehouse Systems

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F20%3A00346441" target="_blank" >RIV/68407700:21730/20:00346441 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/MED48518.2020.9183266" target="_blank" >https://doi.org/10.1109/MED48518.2020.9183266</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/MED48518.2020.9183266" target="_blank" >10.1109/MED48518.2020.9183266</a>

Result language
angličtina
Original language name
Human Intention Recognition for Human Aware Planning in Integrated Warehouse Systems
Original language description
With the substantial growth of logistics businesses the need for larger and more automated warehouses increases, thus giving rise to fully robotized shop-floors with mobile robots in charge of transporting and distributing goods. However, even in fully automatized warehouse systems the need for human intervention frequently arises, whether because of maintenance or because of fulfilling specific orders, thus bringing mobile robots and humans ever closer in an integrated warehouse environment. In order to ensure smooth and efficient operation of such a warehouse, paths of both robots and humans need to be carefully planned; however, due to the possibility of humans deviating from the assigned path, this becomes an even more challenging task. Given that, the supervising system should be able to recognize human intentions and its alternative paths in real-time. In this paper, we propose a framework for human deviation detection and intention recognition which outputs the most probable paths of the humans workers and the planner that acts accordingly by replanning for robots to move out of the human's path. Experimental results demonstrate that the proposed framework increases total number of deliveries, especially human deliveries, and reduces human-robot encounters.
Czech name
—
Czech description
—

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of 2020 28th Mediterranean Conference on Control and Automation
ISBN
978-1-7281-5742-9
ISSN
2325-369X
e-ISSN
2473-3504
Number of pages
6
Pages from-to
586-591
Publisher name
IEEE Xplore
Place of publication
—
Event location
Saint-Raphael, France
Event date
Sep 16, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000612207700096

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