Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Daniel A Duecker"'
Autor:
Leo Dostal, Helge Grossert, Daniel A. Duecker, Malte Grube, Daniel Christopher Kreuter, Kai Sandmann, Benjamin Zillmann, Robert Seifried
Publikováno v:
IEEE Access, Vol 8, Pp 177180-177194 (2020)
Nowadays electric cars are in the spotlight of automotive research. In this context we consider data based approaches as tools to improve and facilitate the car design process. Hereby, we address the challenge of vibration load prediction for electri
Externí odkaz:
https://doaj.org/article/d153c09aa7e54e56a8404154956342e2
Publikováno v:
Sensors, Vol 20, Iss 21, p 6203 (2020)
The inspection of aquatic environments is a challenging activity, which is made more difficult if the environment is complex or confined, such as those that are found in nuclear storage facilities and accident sites, marinas and boatyards, liquid sto
Externí odkaz:
https://doaj.org/article/10edb415a0ec4b40bd0dcd249eb24ee1
Autor:
Fabian Steinmetz, Daniel A Duecker, Nils Sichert, Christian Busse, Edwin Kreuzer, Bernd-Christian Renner
Publikováno v:
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86b80f6e34a259833fcb0a6c2b97b03f
https://doi.org/10.1109/iros47612.2022.9981364
https://doi.org/10.1109/iros47612.2022.9981364
Publikováno v:
Sensors, Vol 19, Iss 9, p 2094 (2019)
Autonomous exploration of environmental fields is one of the most promising tasks to be performed by fleets of mobile underwater robots. The goal is to maximize the information gain during the exploration process by integrating an information-metric
Externí odkaz:
https://doaj.org/article/015469d477f84035973afc5199b2a76f
Publikováno v:
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6dcd4095e5717a59e486e557d22a69bd
https://doi.org/10.1109/iros51168.2021.9635962
https://doi.org/10.1109/iros51168.2021.9635962
Publikováno v:
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5ee8270afa1c6ea7d8bb79906817c8a
https://doi.org/10.1109/iros51168.2021.9636154
https://doi.org/10.1109/iros51168.2021.9636154
Publikováno v:
Volume 9: 17th International Conference on Multibody Systems, Nonlinear Dynamics, and Control (MSNDC).
Object throwing is an efficient approach for overcoming the kinematic workspace limitations of robots in placement scenarios. Throwing of objects with rigid link robots has been widely studied in literature. Although using robots with spring-like fle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f29e0146d6364d30f95e34b9340bae90
https://doi.org/10.1115/detc2021-71660
https://doi.org/10.1115/detc2021-71660
Autor:
Daniel-André Duecker, A. René Geist, Michael Hengeler, Edwin Kreuzer, Marc-André Pick, Viktor Rausch, Eugen Solowjow
Publikováno v:
Sensors, Vol 17, Iss 5, p 959 (2017)
Self-localization is one of the most challenging problems for deploying micro autonomous underwater vehicles ( μ AUV) in confined underwater environments. This paper extends a recently-developed self-localization method that is based on the attenuat
Externí odkaz:
https://doaj.org/article/49a74831c76d42aaa82b3b1d1eab0f0b
Publikováno v:
IROS
Despite the recent progress, guidance, navigation, and control (GNC) are largely unsolved for agile micro autonomous underwater vehicles (µAUVs). Hereby, robust and accurate self-localization systems which fit µAUVs play a key role and their absenc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00be5f8c8e0105d0e69eea216e56f80f
https://doi.org/10.1109/iros45743.2020.9341051
https://doi.org/10.1109/iros45743.2020.9341051
Publikováno v:
2020 IEEE/OES Autonomous Underwater Vehicles Symposium (AUV)(50043).
Monitoring missions in confined underwater environments such as nuclear storage ponds or industry tanks call for highly maneuverable fully autonomous micro underwater robots. In this work, we target this challenging scenario with the new low-cost ope
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7127fb9ef8ad43618ef46b854ea361cb
https://doi.org/10.1109/auv50043.2020.9267949
https://doi.org/10.1109/auv50043.2020.9267949