. Shaik, N., Liebig, T., Kirsch, C., & Müller, H. Kern-Isberner, G., Fürnkranz, J., & Thimm, M., editors. Dynamic Map Update of Non-static Facility Logistics Environment with a Multi-robot System, pages 249–261. Springer International Publishing, Cham, 2017. Paper doi abstract bibtex Autonomous robots need to perceive and represent their environments and act accordingly. Using simultaneous localization and mapping (SLAM) methods, robots can build maps of the environment which are efficient for localization and path planning as long as the environment remains unchanged. However, facility logistics environments are not static because pallets and other obstacles are stored temporarily.
@Inbook{shaik17,
author="Shaik, Nayabrasul and Liebig, Thomas and Kirsch, Christopher and M{\"u}ller, Heinrich",
editor="Kern-Isberner, Gabriele and F{\"u}rnkranz, Johannes and Thimm, Matthias",
title="Dynamic Map Update of Non-static Facility Logistics Environment with a Multi-robot System",
bookTitle="KI 2017: Advances in Artificial Intelligence: 40th Annual German Conference on AI, Dortmund, Germany, September 25--29, 2017, Proceedings",
year="2017",
publisher="Springer International Publishing",
address="Cham",
pages="249--261",
abstract="Autonomous robots need to perceive and represent their environments and act accordingly. Using simultaneous localization and mapping (SLAM) methods, robots can build maps of the environment which are efficient for localization and path planning as long as the environment remains unchanged. However, facility logistics environments are not static because pallets and other obstacles are stored temporarily.",
isbn="978-3-319-67190-1",
doi="10.1007/978-3-319-67190-1_19",
url="https://doi.org/10.1007/978-3-319-67190-1_19"
}
Downloads: 0
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