A high-accuracy, low-budget Sensor Glove for Trajectory Model Learning

Robin Denz; Rabia Demirci; M. Ege Cansev; Adna Bliek; Philipp Beckerle; Elmar Rueckert; Nils Rottmann

doi:10.1109/ICAR53236.2021.9659403

A high-accuracy, low-budget Sensor Glove for Trajectory Model Learning

Robin Denz
, Rabia Demirci
, M. Ege Cansev
, Adna Bliek
, Philipp Beckerle
, Elmar Rueckert
, Nils Rottmann

Lehrstuhl für Cyber Physical Systems (190)

Universität Lübeck
Chair of Autonomous Systems and Mechatronics
Friedrich-Alexander-Universität Erlangen-Nürnberg

Publikation: Beitrag in Fachzeitschrift › Konferenzartikel › Begutachtung

Originalsprache	Englisch
Seiten (von - bis)	1109-1115
Seitenumfang	7
Fachzeitschrift	Proceedings of the International Conference on Advanced Robotics
DOIs	https://doi.org/10.1109/ICAR53236.2021.9659403
Publikationsstatus	Veröffentlicht - 6 Dez. 2021
Veranstaltung	20th International Conference on Advanced Robotics, ICAR 2021 - Ljubljana, Slowenien Dauer: 6 Dez. 2021 → 10 Dez. 2021

Bibliographische Notiz

Publisher Copyright:
© 2021 IEEE.

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10.1109/ICAR53236.2021.9659403

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AU - Cansev, M. Ege

AU - Bliek, Adna

AU - Beckerle, Philipp

AU - Rueckert, Elmar

AU - Rottmann, Nils

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JO - Proceedings of the International Conference on Advanced Robotics

JF - Proceedings of the International Conference on Advanced Robotics

T2 - 20th International Conference on Advanced Robotics, ICAR 2021

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