Computer Vision Approach for the Automated Tool Alignment of an Orbital Sanding Robot

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

Originalsprache	Englisch
Titel	8th IFAC Symposium on Mechatronic Systems MECHATRONICS 2019: Vienna, Austria, 4–6 September 2019
Seiten	19-24
Seitenumfang	6
DOIs	https://doi.org/10.1016/j.ifacol.2019.11.643
Publikationsstatus	Veröffentlicht - Sep. 2019

Name	IFAC-PapersOnLine

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

@inproceedings{bd5e5f5835d141efa220a9b497b72220,

title = "Computer Vision Approach for the Automated Tool Alignment of an Orbital Sanding Robot",

author = "Veronika Putz and Michael Stangl and Christoph Kohlberger and Ronald Naderer",

year = "2019",

month = sep,

doi = "10.1016/j.ifacol.2019.11.643",

language = "English",

series = "IFAC-PapersOnLine",

pages = "19--24",

booktitle = "8th IFAC Symposium on Mechatronic Systems MECHATRONICS 2019: Vienna, Austria, 4–6 September 2019",

}

Computer Vision Approach for the Automated Tool Alignment of an Orbital Sanding Robot. / Putz, Veronika; Stangl, Michael; Kohlberger, Christoph et al.
8th IFAC Symposium on Mechatronic Systems MECHATRONICS 2019: Vienna, Austria, 4–6 September 2019. 2019. S. 19-24 (IFAC-PapersOnLine).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - Computer Vision Approach for the Automated Tool Alignment of an Orbital Sanding Robot

AU - Putz, Veronika

AU - Stangl, Michael

AU - Kohlberger, Christoph

AU - Naderer, Ronald

PY - 2019/9

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U2 - 10.1016/j.ifacol.2019.11.643

DO - 10.1016/j.ifacol.2019.11.643

M3 - Conference proceedings

T3 - IFAC-PapersOnLine

SP - 19

EP - 24

BT - 8th IFAC Symposium on Mechatronic Systems MECHATRONICS 2019: Vienna, Austria, 4–6 September 2019

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