Zobrazeno 1 - 5
of 5
pro vyhledávání: '"M. J. G. Van De Molengraft"'
Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2022)
Many robust state-of-the-art localization methods rely on pose-space sample sets that are evaluated against individual sensor measurements. While these methods can work effectively, they often provide limited mechanisms to control the amount of hypot
Externí odkaz:
https://doaj.org/article/3950716c608a476e9776eba52d9a8129
Publikováno v:
2022 IEEE 61st Conference on Decision and Control, CDC 2022, 2399-2404
STARTPAGE=2399;ENDPAGE=2404;TITLE=2022 IEEE 61st Conference on Decision and Control, CDC 2022
STARTPAGE=2399;ENDPAGE=2404;TITLE=2022 IEEE 61st Conference on Decision and Control, CDC 2022
Given a partially observable Markov decision process (POMDP) with finite state, input and measurement spaces, and costly measurements and control, we consider the problem of when to sample and actuate. Both sampling and actuation are modeled as contr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c176292f15706f07806ea6aac78068bf
https://doi.org/10.1109/CDC51059.2022.9992329
https://doi.org/10.1109/CDC51059.2022.9992329
Autor:
Arpit Aggarwal, Mathijs. F. B van der Burgh, Janno. J. M Lunenburg, Rein. P. W Appeldoorn, Loy. L. A. M van Beek, Josja Geijsberts, Lars. G. L Janssen, Peter van Dooren, Lotte Messing, Rodrigo Martin Núñez, M. J. G. van de Molengraft
Publikováno v:
RoboCup 2022: ISBN: 9783031284687
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f45dea8f88349275bead7c308540deaf
https://doi.org/10.1007/978-3-031-28469-4_22
https://doi.org/10.1007/978-3-031-28469-4_22
Autor:
S. T. Kempers, D. M. J. Hameeteman, R. M. Beumer, J. P. van der Stoel, J. J. Olthuis, W. H. T. M. Aangenent, P. E. J. van Brakel, M. Briegel, D. J. H. Bruijnen, R. van den Bogaert, E. Deniz, A. S. Deogan, Y. G. M. Douven, T. J. van Gerwen, A. A. Kokkelmans, J. J. Kon, W. J. P. Kuijpers, P. H. E. M. van Lith, H. C. T. van de Loo, K. J. Meessen, Y. M. A. Nounou, E. J. Olucha Delgado, F. B. F. Schoenmakers, J. Selten, P. Teurlings, E. D. T. Verhees, M. J. G. van de Molengraft
Publikováno v:
RoboCup 2022: ISBN: 9783031284687
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4edb4ce816b544593a3367c5141cb9c0
https://doi.org/10.1007/978-3-031-28469-4_28
https://doi.org/10.1007/978-3-031-28469-4_28
Publikováno v:
Inverse Problems in Engineering. 2:273-287
This paper presents an optimal estimation method for mixture models to describe the mechanical behaviour of (biological) materials. The a priori knowledge of the non-linear behaviour is taken as a starting point. The method determines estimates of un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47f558b0b3f4e1d8eb4cfc9d9ec7debd
https://doi.org/10.1080/174159796088027607
https://doi.org/10.1080/174159796088027607