Zobrazeno 1 - 10
of 139
pro vyhledávání: '"Michael Roller"'
Publikováno v:
Journal of Computational and Applied Mathematics. 422:114853
Publikováno v:
Mathematics in Industry ISBN: 9783031118173
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6861d15781dc1219bdc173c67235d5e
https://doi.org/10.1007/978-3-031-11818-0_19
https://doi.org/10.1007/978-3-031-11818-0_19
Autor:
Robert G Atkinson, Enos Kline, Qin Wang, Victoria Lyon, Lea M. Starita, Paul K. Drain, Barry R. Lutz, Jack H. Kotnik, Shane Gilligan-Steinberg, Crissa Bennett, Amy Oreskovic, Nuttada Panpradist, Peter D Han, Michael Roller, Matthew Thompson, Daniel Leon, Ian T Hull
Publikováno v:
Science Advances
Description
A unique four-plexed RT-LAMP test kit operated by health workers can provide faster, more sensitive results than laboratory tests.
RNA amplification tests sensitively detect severe acute respiratory syndrome coronavirus 2 (SARS-
A unique four-plexed RT-LAMP test kit operated by health workers can provide faster, more sensitive results than laboratory tests.
RNA amplification tests sensitively detect severe acute respiratory syndrome coronavirus 2 (SARS-
Publikováno v:
Proceedings of the 10th ECCOMAS Thematic Conference on MULTIBODY DYNAMICS.
Autor:
Michael Roller, James Higley
Publikováno v:
2008 Annual Conference & Exposition Proceedings.
Publikováno v:
Mechanism and Machine Theory. 167:104508
Grasping is a complex human activity performed with readiness through a complicated mechanical system as an end effector, i.e. the human hand. Here, we apply a direct transcription method of discrete mechanics and optimal control with constraints (DM
Publikováno v:
PAMM. 19
We solve optimal control problems to perform predictive human grasping simulation for a two‐finger rigid multibody model. The quality of the grasp is strongly influenced by the choice of the objective function. We investigate the quality of the gra
Publikováno v:
Multibody Dynamics 2019 ISBN: 9783030231316
In this contribution, we focus on a muscle actuated human arm model [1] and discuss the applicability of Reinforcement Learning (RL) [2] in order to control it. The content is divided into five sections. We start with the introduction of the human ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::115169faea7d4b3eed003d516353b0fc
https://doi.org/10.1007/978-3-030-23132-3_9
https://doi.org/10.1007/978-3-030-23132-3_9
Publikováno v:
Multibody Dynamics 2019 ISBN: 9783030231316
In this work we will present a novel approach to compute the potential energy and its derivatives of a shell discretized by finite elements. Afterwards a special solution strategy for quasistatic equilibrium problems with moving boundary conditions i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb6198bcd941523ccc1f242c626c92c1
https://doi.org/10.1007/978-3-030-23132-3_25
https://doi.org/10.1007/978-3-030-23132-3_25
Publikováno v:
Multibody Dynamics 2019 ISBN: 9783030231316
Grasping is a complex human activity performed with readiness through a complicated mechanical system as an end effector, i.e. the human hand. Here, we apply a direct transcription method of discrete mechanics and optimal control with constraints (DM
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42c93983d0ee25063f903686cf210082
https://doi.org/10.1007/978-3-030-23132-3_8
https://doi.org/10.1007/978-3-030-23132-3_8