Mair, Elmar und Augustine, Marcus und Jäger, Bastian und Stelzer, Annett und Brand, Christoph und Burschka, Darius und Suppa, Michael (2014) A biologically inspired navigation concept based on the Landmark-Tree map for efficient long-distance robot navigation. Advanced Robotics, 28 (5), Seiten 289-302. Taylor & Francis. doi: 10.1080/01691864.2013.871770. ISSN 0169-1864.
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Offizielle URL: http://www.tandfonline.com/doi/abs/10.1080/01691864.2013.871770
Kurzfassung
Map-based navigation is a crucial task for any mobile robot. Usually, in an unknown environment, this problem is addressed by applying Simultaneous Localization and Mapping based on metric grid-maps. However, such maps are in general rather computational expensive and do not scale well. Insects are able to cover large distances and reliably find back to their nests, although they are quite limited in their resources. Inspired by theories on insect navigation, we developed a data structure which is highly scalable and efficiently adapts to the available memory during run-time. Positions in space are memorized as snapshots, which are unique configurations of landmarks. Unlike conventional snapshot or visual map approaches, we do not simply store the landmarks as a set, but we arrange them in a tree-like structure according to the relevance of their information. The resulting navigation solely relies on the direction measurements of arbitrary landmarks. In this work, we present the concept of the Landmark-Tree (LT) map and apply it to a mobile platform equipped with an omnidirectional camera. We verify the reliability and robustness of the LT-map concept in simulations as well as by experiments with the robotic platform.
elib-URL des Eintrags: | https://elib.dlr.de/88600/ | ||||||||||||||||||||||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||||||||||||||||||
Titel: | A biologically inspired navigation concept based on the Landmark-Tree map for efficient long-distance robot navigation | ||||||||||||||||||||||||||||||||
Autoren: |
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Datum: | 11 Februar 2014 | ||||||||||||||||||||||||||||||||
Erschienen in: | Advanced Robotics | ||||||||||||||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||||||||||||||
Open Access: | Ja | ||||||||||||||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||||||||||||||
In ISI Web of Science: | Ja | ||||||||||||||||||||||||||||||||
Band: | 28 | ||||||||||||||||||||||||||||||||
DOI: | 10.1080/01691864.2013.871770 | ||||||||||||||||||||||||||||||||
Seitenbereich: | Seiten 289-302 | ||||||||||||||||||||||||||||||||
Verlag: | Taylor & Francis | ||||||||||||||||||||||||||||||||
ISSN: | 0169-1864 | ||||||||||||||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||||||||||||||
Stichwörter: | topological navigation; roadmap; Landmark-Tree; LT-map; bio-inspired | ||||||||||||||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||||||||||||||||||||||
HGF - Programmthema: | Technik für Raumfahrtsysteme | ||||||||||||||||||||||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||||||||||||||||||
DLR - Forschungsgebiet: | R SY - Technik für Raumfahrtsysteme | ||||||||||||||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Vorhaben Multisensorielle Weltmodellierung (alt) | ||||||||||||||||||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||||||||||||||||||
Institute & Einrichtungen: | Institut für Robotik und Mechatronik (ab 2013) > Perzeption und Kognition | ||||||||||||||||||||||||||||||||
Hinterlegt von: | Stelzer, Annett | ||||||||||||||||||||||||||||||||
Hinterlegt am: | 20 Aug 2014 14:52 | ||||||||||||||||||||||||||||||||
Letzte Änderung: | 06 Nov 2023 14:34 |
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